Python Developer Jobs in Qatar

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<p>Our client is one of the leading providers of Information and Communication Technology (ICT) service providers is currently looking for experienced Technical Authority Expert. L2 Operations Engineer to deliver the L2 Operation Support . Provides Level 2 operational coverage for nodes, ensuring stability, continuity, and service excellence. Monitor production systems, resolve incidents and problems, execute deployments/releases, perform data repairs and environment maintenance, and collaborate closely with the customer and, and business stakeholders. Duties &amp; Responsibilities: Operations Engineer Proactively monitor production (logs, alerts, system metrics) and take corrective actions to prevent or limit customer impact. Triage and resolve order failures and incident tickets; provide quick fixes/workarounds; escalate recurring defects and follow through to closure. Perform deep dive diagnostics and root cause analysis; clear stuck orders across nodes; reconcile data across multiple systems. Execute data repair and bulk activities; extract business reports and support bill cycle activities. Run targeted DB queries for troubleshooting and data validation; validate deployments and support rollback if required. Provide WA (workaround) scripts and SOPs to L1 to improve first contact resolution. Identify edge cases and product defects; contribute to continuous improvement of runbooks and operational tooling. Release, deployment and environment management Prepare deployment packages and MOPs for each production release; plan, coordinate, and track release activities and risks. Execute production deployments; implement and maintain automated build and deployment. Manage environment configurations and modifications; maintain read only users and permissions; reclaim physical storage as needed. Create/maintain deployment scripts and continuously improve automation coverage for repeatable, low risk releases.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelors degree in Telecommunication Engineering or Equivalent Telecom domain experience with order orchestration and revenue assurance data fixes. Minimum 8 to 10 Years of Experience Experience with automated build/deploy pipelines (e.g., Rosetta or similar), and release coordination at scale. Scripting beyond shell (Python, Groovy) and familiarity with log analysis stacks. Exposure to MySQL/JDBC, Apache HttpClient, Rhino/JavaScript in JVM (as observed in the environment). ITIL foundation or higher certification.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> </p> <p> <br> We are seeking a highly skilled GIS Web Developer to lead the design and implementation of high-performance geospatial applications. You will bridge the gap between complex spatial analysis and modern user interfaces, leveraging the ArcGIS Maps SDK for JavaScript and the React framework to deliver location intelligence solutions.</p> <p>Core Responsibilities</p> <ul> <li>Application Development: Design and develop responsive, scalable web applications using React Hooks, TypeScript, and State Management libraries (e.g., Redux, Context API).</li> <li>ArcGIS Integration: Implement complex mapping features using ArcGIS Maps SDK for JavaScript (4.x), including 2D/3D visualizations, feature layers, and spatial queries.</li> <li>Custom Widget Development: Build and extend custom widgets for ArcGIS Experience Builder (Developer Edition) to meet unique business requirements.</li> <li>Spatial Data Engineering: Optimize interaction with ArcGIS REST APIs and Feature Services to minimize latency and improve geometry rendering performance.</li> <li>UI/UX Standards: Utilize the Esri Calcite Design System to ensure consistent, accessible, and user-centric design across all geospatial tools.</li> <li>Collaboration: Partner with GIS Analysts and Stakeholders to translate business needs into technical specifications and lead code reviews for junior developers.</li> </ul> <p>Required Technical Skills</p> <ul> <li>Frameworks: 5+ years of experience with React (Functional Components, Hooks) and modern front-end build tools like Vite or Webpack.</li> <li>GIS Platforms: Proven expertise in the Esri Ecosystem, including ArcGIS Online, ArcGIS Enterprise, and ArcGIS Pro.</li> <li>Mapping APIs: Deep knowledge of ArcGIS Maps SDK for JavaScript, including spatial analysis, geoprocessing services, and OAuth 2.0 authentication.</li> <li>Geospatial Fundamentals: Strong understanding of coordinate systems (WGS84, Web Mercator), projections, and spatial algorithms.</li> <li>Data &amp; Back-end: Proficiency in SQL (PostGIS or SQL Server) and scripting with Python (ArcPy) for data automation.</li> </ul> <p>Qualifications</p> <ul> <li>Education: Bachelor s or Master's degree in Computer Science, GIS, or a related STEM field.</li> <li>Experience: Minimum 5 years of professional software development experience, with at least 3 years focused on ArcGIS web applications.</li> <li>Soft Skills: Exceptional problem-solving abilities and the ability to explain complex spatial concepts to non-technical audiences.</li> </ul> <p> </p></div></section>

We are looking for a highly experienced Senior Systems Engineer to serve as a technical authority for enterprise IT infrastructure, cloud platforms, automation, security, and modern data environments. The ideal candidate will have 10+ years of IT infrastructure and systems engineering experience, including 7+ years of hands-on experience with Microsoft Azure and Dev Ops. This role requires strong expertise in cloud architecture, Infrastructure as Code, Linux/Windows administration, virtualization, databases, Kubernetes, security, and disaster recovery. Key Responsibilities Architect and manage enterprise environments across Windows Server and Linux (RHEL, Ubuntu, Cent OS). Perform advanced Linux administration, kernel tuning, Bash/Python scripting, and security hardening using SELinux/App Armor. Manage and troubleshoot VMware v Sphere/ESXi and Microsoft Hyper-V environments. Design and implement Microsoft Azure Iaa S/Paa S, Azure networking, SDN, Hub-and-Spoke architecture, Entra ID, and cloud governance. Develop and standardize Infrastructure as Code using Terraform and Azure Bicep. Build and manage CI/CD pipelines using Azure Dev Ops and Git Hub Actions. Automate system administration and configuration management using Power Shell and Ansible. Manage and optimize MS SQL, Kafka, and Mongo DB platforms, including high availability, replication, sharding, and disaster recovery. Manage containerized environments using Docker and Kubernetes, including autoscaling and service reliability. Implement security controls aligned with ISO 27001 and NIST standards. Manage vulnerability assessment and remediation using Qualys or Tenable. Oversee enterprise backup and disaster recovery solutions using Veeam, Commvault, or Veritas. Maintain technical architecture documentation, SOPs, configuration standards, and infrastructure diagrams. Follow ITIL v4 practices for incident, problem, change, and asset management. Lead infrastructure projects, migrations, upgrades, and technical initiatives. Mentor junior engineers and provide technical guidance on complex infrastructure and architectural challenges. Requirements Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Master's degree is highly preferred. Minimum 10+ years of IT infrastructure and systems engineering experience. Minimum 7+ years of hands-on experience with Microsoft Azure and Dev Ops. Expert knowledge of Windows Server and Linux environments. Strong experience with VMware v Sphere/ESXi and Microsoft Hyper-V. Extensive knowledge of Azure networking, Entra ID, governance, and cloud architecture. Advanced knowledge of Terraform and Azure Bicep. Strong experience with Azure Dev Ops and Git Hub Actions. Hands-on experience with MS SQL, Kafka, and Mongo DB. Strong Kubernetes and Docker experience. Knowledge of NIST, ISO 27001, vulnerability management, patching, and security hardening. Experience with enterprise backup and disaster recovery solutions. Strong analytical, troubleshooting, leadership, and stakeholder management skills. Preferred Certifications Microsoft AZ-305 – Azure Solutions Architect Expert Microsoft AZ-400 – Azure Dev Ops Engineer VMware VCPRed Hat Certified Engineer (RHCE) ITIL v4 Foundation Certified Kubernetes Administrator (CKA)

L3 Threat Hunter – Proactive Breach Detection We are seeking a highly skilled L3 Threat Hunter to join our client team Cyber Defense. The ideal candidate will be responsible for proactively identifying advanced threats, conducting hypothesis-driven threat hunting activities, analyzing attacker behavior, and strengthening organizational detection capabilities across enterprise environments. Key Responsibilities Conduct proactive threat hunting activities across endpoints, networks, cloud, and SIEM platforms to identify hidden or emerging threats. Lead complex investigations involving advanced persistent threats (APTs), insider threats, malware activity, lateral movement, and privilege escalation. Correlate telemetry from multiple security tools including SIEM, EDR/XDR, IDS/IPS, firewalls, and threat intelligence platforms. Develop and automate threat hunting workflows, detection use cases, and response playbooks using scripting and automation tools. Participate as the primary threat hunter during security incidents and support incident response activities. Perform forensic analysis on systems, endpoints, memory, logs, and network artifacts. Collaborate with SOC, DFIR, Red Team, and Detection Engineering teams to improve detection coverage and reduce dwell time. Analyze attacker TTPs aligned with frameworks such as MITRE ATT&CK and create actionable detections. Conduct threat simulations and validate detection logic against adversary techniques. Produce detailed technical investigation reports, executive summaries, and remediation recommendations. Continuously improve hunting methodologies, detection content, and monitoring strategies. Required Experience Minimum 5+ years of cybersecurity experience with strong hands-on expertise in Threat Hunting. Proven experience leading threat hunting engagements independently. Experience participating in incident response investigations as the primary threat hunter. Strong exposure to enterprise SOC operations and advanced cyber defense environments. Mandatory Technical Skills Hands-on expertise with:SIEM platforms (such as Splunk, Microsoft Sentinel, QRadar, Arc Sight, Elastic) EDR/XDR solutions (such as Crowd Strike, Defender, Carbon Black, Sentinel One) IDS/IPS technologies Threat intelligence platforms Digital forensics and log analysis Strong knowledge of:Threat hunting methodologies Data correlation and anomaly detection Malware analysis fundamentals Windows/Linux attack techniques Network traffic analysis MITRE ATT&CK framework Experience with scripting and automation using Python, Power Shell, Bash, or similar. Exposure to Red Teaming or Penetration Testing activities is highly preferred. Preferred Qualifications Bachelor’s degree in Cybersecurity, Computer Science, Information Security, or related field preferred. Strong analytical, investigative, and reporting skills. Ability to work in high-pressure security operations environments. Mandatory Certifications / Courses Candidates should possess one or more of the following:e CTHPeCIRGMONGCFAOSCPTH-200Key Evidence to Verify During Screening Threat hunting case studies or investigation examples. Evidence of SIEM/EDR implementation and usage. Automation or scripting examples related to detection/hunting. Incident investigation or forensic reports. Ownership of threat hunting activities beyond basic SOC monitoring.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Introduction <br> <p>A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.</p><br><br> <br> <br> Your role and responsibilities <br> <p>Support the design and build of AI co-pilot use cases on client engagements. Assist with use-case prototyping, prompt design, testing, and solution documentation.</p><br><br><br><p>Eligibility: This internship is open to Qatari Nationals only.</p><br><br> <br> <br> Required education <br> Bachelor's Degree <br> <br> Required technical and professional expertise <br> <p>Foundational understanding of generative AI concepts; exposure to Python; demonstrated interest in building AI assistant / co-pilot solutions.</p><br><br> <br> <br> Preferred technical and professional experience <br> <p>* <strong>Familiarity with Cloud Platforms:</strong> Exposure to cloud platforms such as Kubernetes, AWS, Azure, or GCP, and related services is beneficial.</p><br><br><p>* <strong>Knowledge of Relational and NoSQL Databases:</strong> Basic understanding of working with a variety of relational and NoSQL databases, including SQL, Postgres, DB2, and MongoDB.</p><br><br><p>* <strong>Understanding of Modern UI Frameworks:</strong> Interest in modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery is advantageous.</p><br><br> <br> <br> <br> <br> <br> </div>

Job Description<br><br>Roles & Responsibilities:<br><br> We are seeking a highly motivated and skilled Presales Solution Consultant to join our Application Development & Modernization business unit. This individual will act as a trusted advisor to clients and internal stakeholders, bringing deep knowledge of custom software development, legacy applications modernization, cloud-native application design, mobile- applications development, and low-code/no-code platforms. The ideal candidate will own the end-to-end presales lifecycle, including discovery sessions, solution design, technical presentations, proposals, and collaboration with delivery and sales teams.<br><br>Responsibilities<br><br>You will support opportunities across government and enterprise clients, helping shape and articulate the value of tailored application development solutions aligned with digital transformation goals.<br><br> Collaborate with the sales team to qualify and shape opportunities across Custom Application development and modernization domains. Engage with business and technical stakeholders to capture requirements, pain points, and transformation needs. Translate customer requirements into high-level solution designs and technical proposals, aligned with best practices in architecture, scalability, and performance. Lead technical discussions and deliver compelling solution demonstrations, architecture walkthroughs, and proof of concepts (PoCs). Respond to technical sections of RFIs, RFPs, and compliance matrices, and develop tailored proposals and value propositions. Draft and review Statements of Work (SOWs), and Bill of Quantities (BOQs) for custom applications and modernization services. Contribute to bid strategy, proposal creation, pricing inputs, and partner coordination when needed. Maintain deep awareness of industry trends, tools, and delivery models (e.g., microservices, Dev Ops, CI/CD, API-first, cloud-native, Artificial Intelligence (AI), and low-code platforms like Power Platform). Support go-to-market strategies, playbooks, and enablement efforts for application development offerings.<br><br>Qualifications<br><br>Education and Experience Requirements:<br><br> 5 years of experience in technical presales, solution consulting, or architecture roles, preferably with a system integrator or enterprise service provider. Bachelor’s degree in Computer Science, Software Engineering, or related field. Strong experience in custom application design and delivery, including one or more of the following:Java, . NET, Python-based frameworks Low-code platforms Cloud-native applications on Azure, AWS, or GCPOptional: Previous hands-on working experience implementing data & AI solutions. Including hands-on experience using Microsoft Azure Data & AI, Copilot, and Open AI. Experience with legacy modernization, including system refactoring, containerization, or API enablement. Understanding of enterprise integration, workflow orchestration, and security considerations in application design. Demonstrated ability to create technical presentations, solution architecture diagrams, PoC environments, and proposal artifacts. Prior exposure to agile delivery, Dev Ops practices, and multi-tier application architectures. Exceptional written and verbal communication skills, with mastery of English and Arabic

Knowledge & Experience<br><br>Bachelor’s or master’s degree in computer science, information technology, or a related field. Proven experience in TSYS Prime development, with expertise in designing and implementing solutions on TSYS Prime platforms. Strong proficiency in programming languages such as Java, C++, or Python, and familiarity with web development Technologies (HTML, CSS, Java Script). Experience with TSYS Prime APIs, interfaces, and integration techniques. Solid understanding of software development methodologies (agile, scrum) and version control systems (GIT, SVN). Excellent problem-solving skills and attention to detail. Effective communication skills, with the ability to collaborate effectively with cross-functional teams. Ability to work independently and manage multiple tasks in a fast-paced environment.,Highly proficiency in software development, particularly related to the CDF for ICCP (in control for commercial payments specifically smart data) Strong understanding and experience on CMS (card management system), specifically TSYS Prime. Understanding of configurations, data elements, and interfaces. Knowledge of network message standards- ISO8583 standards.<br><br>Requirements<br><br>Design, develop, and maintain TSYS Prime applications in accordance with project requirements and industry best practices. Collaborate with business analysts and stakeholders to gather and analyse requirements and translate them into technical specifications. Implement software solutions that integrate with TSYS Prime platforms, ensuring seamless functionality and optimal performance. Conduct thorough testing of applications to identify and address any defects or performance issues. Provide support and troubleshooting for TSYS Prime applications in production environments, ensuring timely resolution of issues. Document technical designs, code, and procedures to facilitate knowledge sharing and future maintenance. Participate in code. Reviews and contribute to continuous improvement initiatives to enhance development processes and standards. Collaborate with cross-functional teams to ensure alignment with project timelines, priorities, and goals. Mentor junior developers and provide guidance on TSYS Prime development best practices.<br><br>Project Execution And Customer Interaction<br><br>Manages end-to-end customer projects using the global project Methodology. Guides customers through the implementation process, ensuring compliance with rules and documentation. Handles customer escalations independently.<br><br>Software Development<br><br>Conducts software development and configuration of TSYS Prime (CMS) to ensure the configuration is aligned to the specification provided by schema for integration with the smart data & ICCP platform⁄data elements.<br><br>Technical Skills And Testing<br><br>Conducts thorough testing of data elements, configurations, and interfaces. Ensures accurate vetting of customer network systems for financial payments and tailored service interactions.<br><br>Product Implementation And Readiness<br><br>Implements complex pilot products and assesses commercial product readiness. Provides technical guidance on schema (ma) product offerings.<br><br>Collaboration And Efficiency<br><br>Collaborates with cross-functional teams to complete projects within time and budget. Prioritizes clear communication and effective management of escalations.<br><br>Apply Now

At EY, we're all in to shape your future with confidence.<br><br>We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.<br><br>Join EY and help to build a better working world.<br><br>Key Responsibilities<br><br> Understand ongoing business problems and translate them into research and analytical studies Identify relevant data sources and define the type of data required for analysis Gather, clean, and prepare data for analysis to ensure accuracy and reliability Perform in-depth data analysis to extract meaningful insights Interpret findings and present actionable recommendations to support decision-making<br><br>Experience, Professional Qualifications & Criteria<br><br> Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline 10+ years of Proven experience in data analytics or a similar analytical role Professional Certification (preferred): Data Analytics Professional Certificate<br><br>Language Requirements<br><br> Fluency in Arabic (mandatory) Strong proficiency in English<br><br>Technical Skills<br><br> Strong mathematical and analytical skills for collecting, measuring, organizing, and analyzing data Working knowledge of programming languages such as SQL, Python, R, and Oracle Experience with data models, database design development, segmentation, and data mining techniques Hands-on experience with reporting tools, databases, and frameworks (XML, ETL, Java Script frameworks) In-depth understanding of statistical methods and tools used to analyze datasets Familiarity with big data platforms such as Apache Spark and Hadoop Proficiency in data visualization tools including Power BI and Tableau Ability to design and apply algorithms to derive insights and solutions from datasets<br><br>Soft Skills<br><br> Strong critical thinking and analytical capabilities Excellent communication and presentation skills Problem-solving mindset with attention to detail Ability to manage multiple priorities effectively<br><br>Team Skills<br><br> Strong collaboration and teamwork abilities Creativity and structured thinking Solid experience in report writing, presentations, and data querying Excellent written and verbal communication skills Understanding of industry-specific data analysis practices<br><br>At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.<br><br>Are you ready to shape your future with confidence? Apply today.<br><br>To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.<br><br>EY | Building a better working world<br><br>EY is building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets.<br><br>Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.<br><br>EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, supporting clients in more than 150 countries and territories.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul> <li>Act as Focal Point and provide business process support / problem resolution to ensure that end-users are able to execute their project tasks in SAP and other VP systems in accordance with set timelines and communicate business requirements and system changes to ICT to ensure efficient and effective utilization of the systems.</li> </ul><br><ul> <li>Co-ordinate first line support to Engineering Departments of PEPS end-users to ensure that VP Systems operational support is provided to meet the end-users requirements</li> <li>Prepare Business cases and detailed business requirements to implement new improvement initiatives and obtain "buy-in" from SME's / stakeholders for the automation of business process.</li> <li>Conduct gap and data analysis on business processes to identify bottlenecks, constraints, dependencies, risks and opportunities for improvement, automation and integration between SAP PS, ES and relevant modules and systems.</li> <li>Liaise with ICT on new requirements, current and future system support needs to ensure enhancement of functionalities and optimal utilization of all system.</li> <li>Facilitate in resolving cross-functional business analysis issues across VP and other directorates to enhance departmental and organizational processes and procedures.</li> <li>Coordinate User Acceptance Test (UAT), data migration of SAP PS modules and all systems in PEPS Directorate.</li> <li>Provide SAP data and perform data integrity check to conduct data analysis of business processes performance and maturity</li> <li>Data modeling: Develop custom data models and algorithms to apply to data sets.</li> <li>Business Process and workflow (SharePoint)</li> <li>Software Engineering Skills</li> </ul><br><ul> <li>Bachelor or Master level degree in Business, Computer, Information Science or a related field.</li> <li>Eight years (8) years of experience in a business environment with specific exposure in Business Process and Data Analysis relating to Project Management required, preferably in oil and gas industry.</li> <li>Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations.</li> <li>Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP, and other legacy data sources/systems to drive optimization techniques and business strategies.</li> <li>Experience on Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc.) with experience using web services and clouds tools.</li> <li>Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control.</li> <li>Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams.</li> <li>Thorough understanding of Business Process management and ability to plan / conduct study and document the results.</li> </ul><br><ul> <li><strong>Salary:</strong><ul> <li>Day Rate in QAR Plus Allowance</li> </ul></li> <li><strong>Work Schedule:</strong><ul> <li>8 Hours / 5 Days</li> </ul></li> </ul> <ul> <li><strong>Duration:</strong> <ul> <li>2 Years, with possible extension</li> </ul> </li> <li><strong>Location:</strong> <ul> <li>Qatar</li> </ul> </li> </ul> </div>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:<br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Trip Advisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. Excellent verbal and written communication skills in English Ability to move fast and be efficient, making decisions on objective data evidence Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or e-commerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:<br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Trip Advisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. Excellent verbal and written communication skills in English Ability to move fast and be efficient, making decisions on objective data evidence Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or e-commerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:<br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Trip Advisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. Excellent verbal and written communication skills in English Ability to move fast and be efficient, making decisions on objective data evidence Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or e-commerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.