Data Entry Jobs in Qatar

<p>Position Overview We are seeking a reliable, organized, and detail-oriented Data Entry Clerk Assistant to join our remote team. This entry-level position supports daily business operations by entering and updating information, maintaining digital records, processing documents, and providing general administrative assistance. The ideal candidate is comfortable using computers, working with spreadsheets and digital documents, following established procedures, and completing routine assignments accurately and on time. Previous professional data entry or office experience is not required. Training and guidance will be provided to qualified candidates. This opportunity is ideal for recent graduates, career changers, individuals returning to the workforce, and candidates looking to develop professional experience in data entry, administration, or business support.</p><p>Key Responsibilities</p><p>Data Entry &amp; Record Maintenance</p><ul><li>Enter and update information in databases, spreadsheets, and internal systems.</li><li>Transfer information from approved source documents into digital records.</li><li>Review entered data for accuracy, completeness, and consistency.</li><li>Update existing records with current information.</li><li>Identify missing, duplicate, or incorrect information.</li><li>Correct routine errors when authorized.</li><li>Maintain accurate and organized electronic records.</li><li>Perform basic quality-control checks on completed work.</li><li>Follow established data-entry and recordkeeping procedures.</li></ul><p>Administrative Support</p><ul><li>Provide routine administrative assistance to managers and team members.</li><li>Prepare, format, organize, and update basic business documents.</li><li>Maintain spreadsheets, trackers, contact lists, and administrative logs.</li><li>Process routine forms and internal requests.</li><li>Organize shared folders and electronic files.</li><li>Route documents and information to appropriate team members.</li><li>Monitor shared inboxes or communication channels when assigned.</li><li>Assist with additional clerical and administrative projects as needed.</li></ul><p>Document Processing</p><ul><li>Upload, label, categorize, and archive digital documents.</li><li>Review documents for completeness and basic accuracy.</li><li>Maintain organized electronic filing systems.</li><li>Follow established file-naming and storage procedures.</li><li>Maintain document indexes and tracking logs.</li><li>Retrieve authorized records when requested.</li><li>Organize templates, forms, reports, and reference materials.</li><li>Handle confidential documents responsibly.</li></ul><p>Data Quality &amp; Reporting</p><ul><li>Review records for obvious errors or missing information.</li><li>Compare information across approved sources when required.</li><li>Perform routine data-quality checks.</li><li>Update tracking reports using established templates.</li><li>Compile information for basic reports and summaries.</li><li>Flag discrepancies requiring additional review.</li><li>Help maintain accurate and current business information.</li></ul><p>Operations Support</p><ul><li>Assist with routine daily operational activities.</li><li>Track assignments, deadlines, and outstanding action items.</li><li>Update project and operational trackers.</li><li>Follow up on routine tasks when requested.</li><li>Help maintain organized workflows.</li><li>Coordinate routine information between team members.</li><li>Escalate unresolved data or administrative issues appropriately.</li></ul><p>Communication &amp; Team Support</p><ul><li>Communicate professionally through email, chat, and virtual meetings.</li><li>Respond to routine internal administrative requests.</li><li>Provide timely updates regarding assigned work.</li><li>Ask questions when instructions or information are unclear.</li><li>Coordinate with colleagues to resolve routine documentation or data issues.</li><li>Maintain professional and dependable communication while working remotely.</li></ul><p><br></p><p>Ideal Candidate</p><p>You may be a strong fit if you:</p><ul><li>Have strong attention to detail and accuracy.</li><li>Enjoy working with computers, spreadsheets, and digital records.</li><li>Are organized, dependable, and responsible.</li><li>Can perform structured and repetitive tasks accurately.</li><li>Follow instructions and established procedures carefully.</li><li>Can manage multiple assignments and meet deadlines.</li><li>Work effectively and independently in a remote environment.</li><li>Communicate professionally and ask questions when needed.</li><li>Are comfortable learning new software and processes.</li><li>Can handle confidential information responsibly.</li><li>Are interested in developing a career in data entry, administration, or business operations.</li></ul><p>Recent graduates, career changers, individuals returning to the workforce, and candidates seeking their first professional remote position are encouraged to apply.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>High school diploma, GED, or equivalent.</li><li>Basic computer and typing proficiency.</li><li>Familiarity with email, web browsers, spreadsheets, and digital documents.</li><li>Strong attention to detail and accuracy.</li><li>Good organizational and time-management skills.</li><li>Ability to follow written instructions and established procedures.</li><li>Ability to perform repetitive tasks while maintaining accuracy.</li><li>Ability to manage multiple routine assignments.</li><li>Effective written and verbal communication skills.</li><li>Ability to work independently in a remote environment.</li><li>Dependable and professional work habits.</li><li>Willingness to learn new software and procedures.</li><li>Ability to maintain confidentiality.</li><li>Reliable internet connection and suitable remote workspace.</li></ul><p>Preferred Qualifications</p><p>Previous professional experience is not required.</p><p>Familiarity with any of the following may be helpful:</p><ul><li>Microsoft Excel, Word, and Outlook.</li><li>Google Sheets, Docs, Drive, and Calendar.</li><li>Data-entry or database systems.</li><li>CRM or business-management platforms.</li><li>Digital filing and document-management systems.</li><li>Administrative or clerical support.</li><li>Customer service or office support.</li><li>Basic spreadsheet and report preparation.</li><li>Remote communication and collaboration tools.</li></ul><p>Internships, volunteer work, academic projects, freelance assignments, customer service experience, and previous clerical responsibilities may also be considered relevant.</p><p>Skills &amp; Competencies</p><ul><li>Accuracy: Enter and maintain information correctly while following established procedures.</li><li>Attention to Detail: Identify errors, inconsistencies, duplicate records, and missing information.</li><li>Organization: Keep records, documents, files, and assignments organized across digital systems.</li><li>Time Management: Prioritize responsibilities and complete assignments within expected timelines.</li><li>Communication: Communicate clearly and professionally with supervisors and colleagues.</li><li>Dependability: Maintain consistent productivity and follow through on assigned responsibilities.</li><li>Adaptability: Learn new software, systems, and administrative procedures as needed.</li><li>Confidentiality: Protect sensitive company, customer, vendor, and employee information.</li></ul>

Company Description Green Point Trading W. L. L. is a growing trading company based in Qatar, serving clients across a range of commercial and industrial sectors. The company focuses on reliable supply chain operations, accurate inventory management, and timely delivery of goods. Team members benefit from working in a structured environment that emphasizes accountability, safety, and adherence to company procedures. Green Point Trading W. L. L. values professionalism, collaboration, and integrity in all business activities. The organization offers opportunities to develop practical skills in logistics, warehousing, and administrative support. Role Description The Storekeeper and Data Entry Clerk is a full-time, on-site role based in Qatar. This role is responsible for receiving, checking, and organizing incoming stock, ensuring that materials are stored correctly and issued according to company procedures. The position includes maintaining accurate inventory records, updating stock levels, and reconciling discrepancies in coordination with the procurement and accounts teams. The role also involves daily data entry of inventory movements, invoices, delivery notes, and related documents into company systems, while ensuring data accuracy and completeness. Additional tasks may include preparing basic reports, supporting stock audits, maintaining a clean and safe storage area, and collaborating with colleagues to ensure smooth warehouse and office operations. Qualifications Ability to manage inventory, organize stock, and support storekeeping activities in a warehouse or trading environment. Proficiency in data entry, basic computer use, and working with spreadsheets or inventory management software. Strong attention to detail, accuracy in record-keeping, and ability to follow established procedures and documentation standards. Effective communication skills and the ability to work collaboratively with procurement, logistics, and administrative teams. Basic numerical skills and comfort handling quantities, measurements, and stock reconciliations. Previous experience in storekeeping, warehouse operations, or data entry is preferred. High school diploma or vocational qualification in administration, logistics, or a related field; further training in inventory or office management is an advantage. Ability to work on-site in Qatar, adhere to safety standards, and adapt to a fast-paced trading environment.

Job Description<br><br>Enter and update shutdown-related data into company databases, spreadsheets, and management systems. Maintain records of work orders, equipment status, manpower allocation, and inspection reports. Verify the accuracy and completeness of data before entry. Compile daily, weekly, and final shutdown progress reports. Track outstanding activities and ensure records are updated promptly. Organize and file shutdown documentation, permits, and reports. Coordinate with planners, supervisors, inspectors, and contractors to collect required information. Generate reports, charts, and summaries as requested by management. Ensure confidentiality and integrity of project information. Support administrative activities related to shutdown planning and execution.<br><br>Qualifications<br><br>Diploma or Bachelor's degree in Business Administration, Information Technology, Engineering, or related field. Minimum 1-3 years of experience in data entry, administration, or document control. Experience in industrial shutdown/turnaround projects is preferred. Proficiency in Microsoft Office Suite, especially Excel and Word. Experience with SAP, CMMS, Maximo, or other maintenance management systems is an advantage.

Job Description<br><br>Enter and update shutdown-related data into company databases, spreadsheets, and management systems. Maintain records of work orders, equipment status, manpower allocation, and inspection reports. Verify the accuracy and completeness of data before entry. Compile daily, weekly, and final shutdown progress reports. Track outstanding activities and ensure records are updated promptly. Organize and file shutdown documentation, permits, and reports. Coordinate with planners, supervisors, inspectors, and contractors to collect required information. Generate reports, charts, and summaries as requested by management. Ensure confidentiality and integrity of project information. Support administrative activities related to shutdown planning and execution.<br><br>Qualifications<br><br>Diploma or Bachelor's degree in Business Administration, Information Technology, Engineering, or related field. Minimum 1-3 years of experience in data entry, administration, or document control. Experience in industrial shutdown/turnaround projects is preferred. Proficiency in Microsoft Office Suite, especially Excel and Word. Experience with SAP, CMMS, Maximo, or other maintenance management systems is an advantage.

About Us:Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!<br>About the Role:This role is responsible for strengthening the AI practice by working closely with the relevant stakeholders (B2B/C, Technology, Finance etc.) on impactful AI/ML and Gen AI use cases to contribute to business strategy, digital growth and an evolving data & AI roadmap. The role will focus on translating customer and commercial needs into scalable ML/Gen AI/Data Science models and decisioning capabilities across business domains including customer value management (CVM), marketing, digital sales and customer care.<br>Functional Context:Ooredoo places strong emphasis on a data-driven culture. In an ever-changing business landscape, there is increasing organizational focus on using AI/ML in day-to-day practice to create value, efficiency, and diversification.<br>The AI Hub division is responsible for putting in place and executing the data & AI roadmap, business plan, and strategy. Ooredoo is building cloud platform-based solutions involving GCP that hosts the data platform and supports analytics and ML workloads, while Azure hosts Gen AI and agentic AI workloads.<br>Role Accountabilities:• Understand business requirements for Telecom business (B2C/B2B) and develop AI/ML based data science models to do value addition.• Own end-to-end AI/ML model lifecycle: problem framing, data discovery, feature engineering, training, validation, deployment, monitoring, and continuous improvement (self-learning where applicable).• Deliver Customer Value Management (CVM) use cases such as churn prediction and prevention, customer lifetime value (CLV), propensity models for upsell/cross-sell, and Next Best Offer / Next Best Action frameworks.• Enable hyper-personalization and real-time decisioning by designing decision logic, recommendation models and event-driven scoring to support always-on campaigns and contextual offers.• Support AI-enabled marketing and digital sales optimization, including audience segmentation, campaign optimization, attribution/uplift measurement, personalized messaging, and digital funnel conversion analytics.• Develop call-center efficiency use cases including call volume forecasting, workforce optimization inputs, routing/prioritization analytics, and AI-assisted service journeys.• Design and implement conversational AI and Gen AI solutions (e.g., virtual assistants, agent-assist, summarization, knowledge retrieval) to improve customer experience and operational efficiency while adhering to governance controls.• Command on PL/SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction in leading database platforms e.g., Teradata, Oracle etc.• Build insights through statistical measures/algorithms/graphs/info graphics and communicate results in a business friendly format for stakeholders and leadership.• Evaluate models and establish robust tracking mechanisms for adoption and realized business outcomes; proactively follow up on lead utilization with use case owners.• Ensure Responsible AI practices: model governance, documentation, privacy-by-design, bias/robustness testing, explainability where required, and secure handling of customer data.• Manage and continuously improve the Data Science Operational Framework, including standards for reusable code, model registries, versioning, and release management in collaboration with Technology teams.• Work as part of a shared function across organization on use cases to support product growth, cost optimization, customer engagement and customer experience improvements.<br>Minimum Entry Qualifications:Bachelor’s Degree in Computer Science, Engineering or Similar<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Prior experience in data science and AI/ML-based advanced analytics, including hands-on development on leading data science platforms (Dataiku as the primary platform) using Python and R. Demonstrated expertise in predictive modelling for telecommunications (telco) customer analytics (e.g., churn prediction, propensity, customer lifetime value (CLV)) as well as segmentation,recommendation/decisioning systems, and timeseries forecasting. Experience implementing hyper-personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts. Practical knowledge of Gen AI/LLM solutions (e.g., prompt engineering, retrieval-augmentedgeneration, evaluation methodologies, and model guardrails) and hands-on experience using Gemini and/or Azure AI for automation and customer experience use cases, Strong command of SQL and PL/SQL for advanced feature extraction with large-scale data on enterprise data platforms (e.g., Teradata, Oracle, Big Query) Familiarity with MLOps practices – such as version control, pipeline orchestration, model registry,CI/CD deployment patterns, monitoring, and lifecycle management – within Dataiku and incollaboration with Technology teams. Understanding of Responsible AI principles, including privacy, security, and bias mitigation for AI models and automated decisioning. Excellent understanding of telecommunications commercial practices and customer journeys, andthe ability to work cross-functionally with Product, Marketing, Sales, Digital, Technology teams.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span><span><span><span><u><b>Job Description:</b></u></span></span></span></span></span></span></span><b>Details of the Division and Team</b><p><span>Deutsche Bank Research is responsible for economic and financial analysis within Deutsche Bank Group and covers asset allocation and all major industry sectors. We analyse relevant trends for the bank in financial markets, the economy and society, highlight risks and opportunities and act as consultant for the bank, its clients and stake-holders. </span></p><br><p><span>You will join the dbDIG team (Data Insights Group) that transforms alternative data, advanced analytics and artificial intelligence into client-facing investment research products and publications. In this role, you will shape how research questions become scalable data products, production-ready models, interactive dashboards, and practical artificial intelligence solutions used by analysts and clients. You will work at the intersection of research, data engineering, visualization, and artificial intelligence and help to demonstrate the bank’s applied analytics capability externally</span></p><br><p><b>What we will offer you</b></p><br><p>A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.</p><br><p><u>You can expect: </u></p><br><ul><li><p>Life Insurance&nbsp;</p><br></li><li><p>Accidental Death Insurance</p><br></li><li><p>&nbsp;Medical Insurance for you, your spouse and dependent children in country.</p><br></li><li><p>Flexible working arrangements</p><br></li><li><p>30 days of annual paid leave, plus public holiday &amp; Flexible Working Arrangement</p><br></li></ul><p><b>Your key responsibilities</b></p><br><ul><li><p><span>Drive the end-to-end alternative data agenda, partnering with analyst teams to turn research questions into scalable data products, from problem framing and data acquisition through signal development, statistical modeling, validation, and quality assurance.</span></p><br></li><li><p><span>Own data ingestion and validation standards for alternative datasets, using statistical, machine learning, and artificial intelligence-based checks to identify anomalies early and maintain high-quality inputs for modeling.</span></p><br></li><li><p><span>Collaborate with internal stakeholders across the full project lifecycle, while mentoring and helping manage junior team members working on data science projects.</span></p><br></li><li><p><span>Enhance data reporting by creating interactive dashboards, applications, geospatial maps, animations, and advanced visualizations.</span></p><br></li><li><p><span>Build practical artificial intelligence integrations, including application programming interfaces, model connection points, and secure access to internal data and research environments, to automate repetitive work and improve analyst productivity.</span></p><br></li></ul><p><b>Your skills and experience</b></p><br><ul><li><p><span>Experience building or managing alternative data, advanced analytics, or machine learning products in a research, financial services, or data-driven environment.</span></p><br></li><li><p><span>Strong capabilities in Python, PySpark, Tableau, data extraction, data quality testing, and working with large datasets in database or distributed computing environments.</span></p><br></li><li><p><span>Ability to translate complex research questions into clear analytical approaches, validated signals, and production-ready data products.</span></p><br></li><li><p><span>Experience creating dashboards, visualizations, or applications that make complex data easy for analysts and clients to understand and use.</span></p><br></li><li><p><span>Strong stakeholder management skills, with the ability to partner across research, technology, data engineering, and client-facing teams.</span></p><br></li><li><p><span>Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and compliant use of data and AI outputs.</span></p><br></li></ul><p><b>How we’ll support you</b></p><br><ul><li><p>Flexible working to assist you balance your personal priorities</p><br></li><li><p>Coaching and support from experts in your team</p><br></li><li><p>A culture of continuous learning to aid progression</p><br></li><li><p>A range of flexible benefits that you can tailor to suit your needs</p><br></li><li><p>Training and development to help you excel in your career</p><br></li></ul><p><b>About us and our teams</b></p><br><p>Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.</p><br><p><b>Deutsche Bank &amp; Diversity</b></p><br><p>We strive for a <span><u>culture</u></span> in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.</p><br><p>Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.</p><br><p>We welcome applications from all people and promote a positive, fair and inclusive work environment.</p><br> </div>

We are looking for an experienced Data Lead to provide leadership across data governance, data management, data acquisition, and data ingestion. The role will be responsible for establishing effective data practices, ensuring data quality and security, and leading technical data teams toward scalable and business-oriented solutions.<br>Key Responsibilities• Lead data governance, management, acquisition, and ingestion functions• Oversee the collection, management, integration, and storage of data• Develop and implement data management and governance strategies• Establish data acquisition practices that ensure data is properly sanitized, processed, structured, and optimized for utilization• Ensure data integration, development, escalation, and resolution processes comply with privacy and security standards• Lead and coordinate Data Architects, Data Engineers, and Data Scientists• Oversee data integration activities related to customer onboarding• Develop and manage data-sharing agreements with relevant stakeholders• Drive data-related operational and strategic decisions across multiple stakeholders• Participate in data governance forums and committees• Continuously improve data architecture, management capabilities, and processes throughout the product and solution lifecycle• Promote the effective use of data to support business objectives and informed decision-making<br>Skills & Experience• Strong experience in Data Governance, Enterprise Data Management, Business Intelligence, and Advanced Analytics• Experience in ICT, digital platforms, smart-city initiatives, or other large-scale technology environments is an advantage• Proven ability to lead and provide clear direction to multidisciplinary data teams• Strong understanding of the strategic and business value of data management and data monetization• Ability to assess data management capabilities from both technical and business perspectives• Demonstrated leadership and execution experience in large-scale programs involving multiple stakeholders• Strong expertise in Big Data Engineering and Cloud Data Platforms, preferably Azure• Good understanding of Machine Learning and Artificial Intelligence concepts and applications• Strong knowledge of Data Architecture and Data Governance, including Master Data Management (MDM), data quality, data security, and data integration• Strong stakeholder management, communication, and decision-making skills

We are looking for a Data Quality Lead to establish and manage the enterprise Data Quality Management Framework across the organization. The role will ensure data is accurate, complete, consistent, timely, and fit for purpose across banking, regulatory reporting, risk, finance, analytics, and AI initiatives. Key Responsibilities:Develop and implement Data Quality Framework, standards, policies, controls, KPIs/KRIs and scorecards. Define and monitor Data Quality Rules for Critical Data Elements (CDEs). Lead Data Quality Issue Management, including root-cause analysis, remediation, escalation, and closure. Monitor data quality through dashboards, scorecards and management reporting. Support regulatory reporting, risk, finance, compliance and audit requirements. Ensure data quality for AI, analytics and ML initiatives. Work closely with Data Owners, Data Stewards, IT, Risk, Finance, Compliance and Business teams. Drive enterprise-wide Data Governance and Data Quality maturity. Required Experience:8–12 years in Data Governance, Data Quality, Data Management, Risk Data or Regulatory Data. Banking/Financial Services or another highly regulated industry is required. Strong knowledge of Data Quality, Data Governance, Data Lineage, Metadata, MDM and Reference Data. Experience with Informatica, Collibra, Microsoft Purview, ABACUS or similar platforms. Strong stakeholder management and governance experience.

Hiring: Senior Data Architect (Data & AI) Location: Doha, Qatar Industry: Banking / Financial Services Experience: 12+ years overall (min. 7 years in Data Architecture) GCC/Qatar Banking Experience Mandatory<br>Role Overview Strategic role responsible for governing the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization. Strong focus on Responsible AI, data governance, and enterprise-scale architecture design. Key Responsibilities Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives. Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements. Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns for compliance with Data Governance, Data Quality, Security, and Privacy requirements. Assess AI use cases from a technical architecture lens — data sourcing, integration, scalability, performance, and alignment with target architecture. Establish technical controls for Responsible AI (RAI) — data validation, bias detection, explainability, traceability, and monitoring. Evaluate vendor solutions for alignment with enterprise architecture standards, integration, security, and performance. Conduct data-focused assessments of third-party solutions for data protection, privacy, and regulatory compliance. Review BRS, solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective. Govern data integration frameworks — ETL/ELT, APIs, streaming, and batch data flows. Support regulatory compliance initiatives, audits, and architecture governance forums. Act as SME in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills & Experience7–10+ years in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines — banking/financial services experience required, GCC/Qatar preferred. Strong grasp of enterprise data architecture, data modeling, integration, and governance frameworks. Hands-on knowledge of modern data platforms — data warehouses, lakehouses, ETL/ELT, analytics ecosystems. Understanding of AI/ML data ecosystems and Responsible AI principles. Experience reviewing architecture across on-prem, cloud, and hybrid environments. Familiarity with Data Governance, Data Quality, Metadata Management, and regulatory data requirements. Strong stakeholder management and communication skills across business, tech, risk, and compliance teams. Certifications such as TOGAF, DAMA, CDMP, or Cloud Architecture certifications preferred. Immediate joiners preferred.

Nair Systems is currently looking for Data Quality Lead for our Qatar operations Qualifications & Experience• Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.• 8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.• Experience within banking, financial services, or other highly regulated industries is required.• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.• Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions. Key Responsibilities• Data Quality Governance & Framework• Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.• Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.• Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.• Data Quality Oversight & Monitoring• Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.• Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.• Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.• Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.• Data Issue Management & Escalation• Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.• Maintain Enterprise Data Quality Issue management register• Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.• Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.• Regulatory Reporting & Risk Data Quality• Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.• Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.• Support regulatory examinations, audits, and data-related reviews.• Data & AI Enablement• Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.• Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.• Support the implementation of data quality controls throughout the data and AI lifecycle.• Stakeholder Engagement• Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.• Promote data quality awareness, accountability, and stewardship across the Group.• Facilitate working groups and governance forums focused on data quality improvement initiatives. Joining time frame: 2 weeks (maximum 1 month) Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest at nishanthini.suda@nairsystems.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are</strong> currently looking for<strong> Data Quality Lead </strong>for our<strong> Qatar </strong>operations</p><br><p><strong>Qualifications &amp; Experience</strong></p><br><ul><li>Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.</li><li>8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.</li><li>Experience within banking, financial services, or other highly regulated industries is required.</li><li>Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.</li><li>Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>Data Quality Governance &amp; Framework</li><li>Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.</li><li>Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.</li><li>Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.</li><li>Data Quality Oversight &amp; Monitoring</li><li>Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.</li><li>Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.</li><li>Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.</li><li>Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.</li><li>Data Issue Management &amp; Escalation</li><li>Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.</li><li>Maintain Enterprise Data Quality Issue management register</li><li>Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.</li><li>Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.</li><li>Regulatory Reporting &amp; Risk Data Quality</li><li>Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.</li><li>Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.</li><li>Support regulatory examinations, audits, and data-related reviews.</li><li>Data &amp; AI Enablement</li><li>Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.</li><li>Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.</li><li>Support the implementation of data quality controls throughout the data and AI lifecycle.</li><li>Stakeholder Engagement</li><li>Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.</li><li>Promote data quality awareness, accountability, and stewardship across the Group.</li><li>Facilitate working groups and governance forums focused on data quality improvement initiatives.</li></ul><p><strong>Joining time frame: 2 weeks (maximum 1 month)</strong></p><br><br><br> </div>

Job description:<br><br> Job Purpose Purpose of the Role: Technical role responsible for developing Data Governance controls using NOC Data Governance solutions on data repositories and Data Platform ensuring data management, quality and responsibilities are in place to improve the overall data governance maturity. Digital use cases and application solutions data governance deliverables to ensure data used and presented are accurate and trusted. Interface with all NOC business entities especially the users of production operations data to ensure data governance practices and workflows are designed and implemented on data repositories (i.e., data quality rules) to improved business decisions and increase operational efficiency. JOB DIMENSIONS Structured and unstructured data for more than 100 Data Domains, 650 Data Families and 100 Data Sources/Solutions Manage 4 solutions and work with 2 service contracts. Interface with the digital team to implement data governance on the digital use cases to ensure data used and presented is fit for decision making. Interface with the identified data roles within 16 departments, which are Data Owners (Leadership), Data Stewards (Data SMEs) and Data Custodians (Solution SMEs) to capture the data requirements and improvements on the tools. Interface with information security to ensure security controls are applied on the data used (i.e. information classification) Support maturing data knowledge and practices (i.e. end user training) Key Accountabilities Key Accountabilities Data Governance solutions management and maintenance (i.e., data quality, data cataloging, metadata management) Implement data governance practices on AI, digital use cases, data platforms and NOC solutions. Evaluate and apply data governance practices on identified key data elements and any data hosted outside of NOC premise (i.e., cloud). Review vendors’ deliverables and communicate corrective actions. Enable NOC data literacy and organization upskilling Key Accountabilities ACTIVITIES Define and implement data governance processes, practices and rules as requested by data owners and steward on data governance tools (i.e. Informatica). Work closely with the internal teams team to implement data governance on the data that will be used in AI, advanced analytics and digital use cases and map it to the enterprise data governance practices. Develop and maintain AI governance, observability, and quality assurance capabilities, including agent access controls, audit trails, compliance-driven configurations, and automated monitoring for data quality, model performance, bias, and drift, while supporting incident investigation and remediation of AI-related risks. Apply data governance requirements on Key Data Elements identified by the business. Capture and implement data governance requirements on data before migrating to cloud. Perform resource creation and extraction of core databases metadata and profiling metadata, business term association, attribute management, data domains, rules, profiling information and troubleshooting, and performance tuning in EDC. Analysis business data and propose data quality rules to the business then implement the selected/validated rules and produce data quality scorecards that are regularly updated. Work with stakeholders to identify trusted source, owner, and steward for each of the Key Data Elements (KDE) and define business definition and business rules. Manage metadata repositories through executing onboarding of technical and business metadata on data governance solutions, ensuring the population of data lineage and linkage between the technical and business metadata. Use data profiling and Informatica EDC/IDQ to discover patterns and tasks that can be automated, and identify ways to improve data reliability, performance, efficiency, and quality. Implement metadata catalog, dictionaries, business user glossaries on relative tools leverage Oil and Gas standard practices to ease the data discovery and utilization. Maintain an API and a dashboard that showcases the Data Governance maturity KPIs for every department. Implement and maintain a Data Certification tool that provides evidence of complete and accurate data migration from source to destination. Key Accountabilities Evaluate and recommend innovative solutions to mature NOC’s data operations and overall data governance. Implement enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance. Capture data lineage and data flow between systems, defining the transformation that data are subject to while moving between systems in accordance with App and Data IS SMEs. Build and maintain effective working relationships with key entities and stakeholders in NOC and other parties as needed. Support NOC to define new requirements, participate in end user meetings to derive and define the business requirement, propose cost effective solutions for data governance and familiarize the team with the requirements, specifications, design targets & techniques to support task performance and delivery. Review & propose industry best tools & technology for ever changing business rules and data set from data governance point of view, Conduct Proof of Concepts (POC) with new tools & technologies to derive convincing benchmarks and deliver value-based solution in Quick time. Interface with the department Architects to ensure Data governance principles and rules are considered. Launch data quality improvement actions for Key Data Elements Competencies Delegate Appropriately and Communicate Effectively Demonstrate Adaptability in Managing Complex Situations Demonstrate Learning Agility and Drive Innovation Develop Emotional Intelligence and Cultural Competence Develop Others and Institutionalise Knowledge Develop Talent for the Future NOC Sustainability Facilitate Collaboration and Sense of Community Improve Safety, Technical Proficiency and Results Lead By Example with NOC Values Set Purpose, Strategic Direction and Company Plan Strengthen Accountability and Continuous Improvement Think and Act in Stakeholder-Centric Ways Education Bachelor’s degree from an accredited university in Information Management or Computer Science or an engineering/business related equivalent. Certification Experience 10 years of experience in Data Management/Governance preferably in Oil and Gas upstream operations. 8+ years of experience in Data Governance projects using data governance tools (i.e., informatica). Deep experience in petroleum operations data and good understanding of the related data sources Full understanding of Data Governance concepts (e.g., cataloging, profiling, ownership/stewardship, Data Quality, Data Catalog ...etc.) Certification and strong technical and analytical skills, as well as hands-on experience with Informatica data governance tools (Axon, IDQ, EDC) Deep technical experience in creating data governance workflows, implement policies, guidelines, tools, metrics, and standards for managing metadata. Deep technical experience integrating Informatica EDC/IDQ with Axon. Deep technical experience in Metadata Extraction & build lineage among assets. Deep technical experience in implementing data quality rules using Informatica DQ Strong hands-on experience designing, developing, deploying, testing, and administrating Informatica data governance tools. Experience in database technologies and techniques (e.g., SQL, NoSQL, Oracle, …etc) Experience establishing master data and reference data for domain entities using Informatica MDM. Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation. Awareness of data integration patterns, data modeling and data architecture Ability to work in Agile environment, and to regularly learn and adopt new technology. Ability to communicate across all levels of the organization and work with diverse project teams. Fluent English both spoken and written

Job Description<br><br>Hands-on senior Databricks specialist with proven experience in production enterprise environments. We are specifically looking for someone who can independently design, develop, troubleshoot, optimize, and govern Databricks solutions, rather than someone whose experience is limited to basic Databricks development.<br><br>Responsibilities<br><br>Design and implement enterprise-scale data solutions using Azure Databricks. Define and maintain Databricks data architecture and platform standards. Design data ingestion and integration pipelines from multiple source systems. Develop scalable ETL/ELT pipelines using Databricks and Apache Spark. Design and implement Medallion Architecture (Bronze, Silver, Gold) where appropriate. Work with Delta Lake and optimize Delta tables and data pipelines. Design data models and transformation processes for analytical and operational reporting. Integrate Databricks with Microsoft Dynamics 365 / Dataverse and other enterprise applications. Develop and optimize batch and near-real-time data processing pipelines. Implement data quality, validation, monitoring, lineage, and governance processes. Optimize Spark jobs, clusters, SQL queries, Delta tables, and data pipelines for performance and cost. Implement appropriate data security and access controls. Work with Unity Catalog for data governance, access control, cataloging, and lineage. Support Power BI and other analytical/reporting platforms through optimized data models and data services. Troubleshoot complex data engineering and performance issues. Establish development, testing, and production standards for Databricks. Support CI/CD and Dev Ops practices for Databricks solutions. Conduct technical reviews and mentor data engineers. Ensure data platform solutions meet security, availability, scalability, and disaster recovery requirements.<br><br>Qualifications<br><br>Minimum 8+ years of experience in data engineering/data architecture. Minimum 4+ years of strong hands-on experience with Azure Databricks. Strong hands-on experience with Apache Spark and PySpark. Strong experience with Delta Lake. Strong experience designing enterprise data platforms and data pipelines. Strong knowledge of Databricks Medallion Architecture. Strong experience with Unity Catalog, data governance, access control, and data lineage. Strong SQL skills and experience with large-scale data processing. Strong experience with Azure data services. Experience with Azure Data Factory / Azure Data Lake Storage Gen2. Experience integrating Databricks with APIs, enterprise applications, CRM systems, and other data sources. Experience with data modeling and dimensional modeling. Strong understanding of data quality and data governance. Strong understanding of performance optimization and Databricks cost optimization. Experience with CI/CD, Git, Azure Dev Ops, and deployment automation. Experience working with large-volume enterprise datasets. Ability to troubleshoot complex production data issues.<br><br>Preferred Certifications<br><br>Databricks Certified Data Engineer Professional Databricks Certified Data Engineer Associate Microsoft Certified: Azure Data Engineer Associate Other relevant Databricks/Azure certifications

???? Join a Global Leader in Workforce Solutions – Net2Source Inc.???? Right Talent. Right Time. Right Place. Right Price.???? Operating in 32 countries | 5,500+ Employees???? www.net2source.com | ???? remya@net2source.ae<br>Job Title: Business Development Officer Job Location: Qatar<br>We are looking for an experienced Senior Data Architect – Data & AI to lead and govern enterprise data architecture supporting Data Analytics, AI, and digital transformation initiatives.<br>Key Responsibilities:<br>Define and govern enterprise data architecture, data models, and data integration frameworks. Review data architecture, end-to-end data flows, data lineage, ETL/ELT, APIs, batch and streaming solutions. Ensure compliance with Data Governance, Data Quality, Security, Privacy, and regulatory requirements. Assess AI/ML use cases from a data architecture and scalability perspective. Support Responsible AI through data validation, bias detection, explainability, traceability, and monitoring. Review solution designs, BRS documents, vendor solutions, and post-implementation architecture. Participate in Architecture Review, Data Governance and AI Governance forums. Support audits, regulatory initiatives, and enterprise data management programs.<br>Required Skills:7–10+ years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related areas. Strong experience in Data Modeling, Data Governance, Data Integration, Data Quality, and Data Lineage. Good knowledge of Data Warehouses, Data Lakes/Lakehouses, ETL/ELT and modern data platforms. Understanding of AI/ML data ecosystems and Responsible AI. Experience across On-Premises, Cloud, and Hybrid architectures. Strong stakeholder management and architecture governance experience. Banking/Financial Services experience is preferred. GCC/Qatar banking experience is highly desirable. Certifications such as TOGAF, DAMA, CDMP or Cloud Architecture certifications are an advantage.<br>???? About Net2Source Inc. Net2Source offers global staffing solutions and enterprise-scale recruitment support.???? Recognized by INC 5000 & SIA???? Global offices: UAE | USA | India | UK | Singapore | Canada | ANZ???? We support inclusive hiring practices in accordance with UAE labor law.???? www.net2source.com/careers | ???? remya@net2source.ae

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.<br>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.</p><br><p>Your responsibilities will include:</p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>2-5 years: Data Engineer</li><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Experience working with business stakeholders either internally or externally</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.</li></ul><p>Artefact is the place to be: come and build the future of data and AI</p><br><p><strong>Innovation:</strong> We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration:&amp;nbsp;</strong>We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>

Role Objective <br>The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank’s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.<br>Detailed Roles and Responsibilities:<br>Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank’s policies and units/departments approved policies and procedures. Support in development and implementation of the bank’s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations. Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank. Prepare Data Privacy policies, procedures & notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates. Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank. Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs). Perform Data Privacy Impact Assessment of the bank’s business process and IT applications processing personal data of the staff, customers, vendors, etc. Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures. Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.<br>Educational Qualifications and Experience: <br>University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline. Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Senior Data Analyst is responsible to&nbsp;leverage data-driven insights to inform and guide strategic decision-making within an organization. This role involves analyzing large datasets, identifying trends, patterns, and opportunities, and translating complex data into actionable recommendations for the strategy team and senior management.</p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p>Utilize advanced data analysis techniques to extract valuable insights from various data sources, supporting strategic initiatives and decision-making.</p><br> <p>Identify trends, patterns, and correlations within data to anticipate future market dynamics and strategic opportunities.</p><br> <p>Evaluate the performance of the organization's key metrics, products, or services to identify areas for improvement and growth.</p><br> <p>Analyze data related to competitors' activities, market positioning, and performance to inform competitive strategies.</p><br> <p>Conduct data-driven market research and segment analysis to identify target audiences, market trends, and potential growth areas.</p><br> <p>Provide data-backed insights and recommendations to support the development and refinement of strategic plans.</p><br> <p>Collaborate with the strategy team and senior management to provide data-driven insights that inform critical decisions.</p><br> <p>Perform scenario analysis to assess the potential outcomes of different strategic choices and their impact on business goals.</p><br> <p>Create clear and compelling data visualizations, charts, and dashboards to communicate complex insights effectively.</p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><p>Define and track key performance indicators (KPIs) aligned with strategic goals, and provide insights into their progress.</p><br> <p>Collaborate with cross-functional teams, including finance, marketing, and operations, to gather and analyze relevant data.</p><br> <p>Ensure data accuracy, consistency, and integrity throughout the analysis process.</p><br> <p>Prepare and present data-driven recommendations and insights to senior management and key stakeholders.</p><br> <p>Conduct hypothesis testing to validate assumptions and uncover insights that drive strategic initiatives.</p><br> <p>Serve as a subject matter expert on data analysis and insights, providing guidance to the strategy team and other departments.</p><br> <p>Proactively identify opportunities for innovation and improvement based on data insights.</p><br> <p>Identify potential risks and challenges through data analysis, helping the strategy team develop risk-mitigation strategies.</p><br><br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Deep understanding of the popular data analysis tools and databases.</p><br> <p>High-level experience in methodologies and processes for managing large-scale bases.</p><br> <p>Demonstrated experience in handling large data sets and relational databases.</p><br> <p>Understanding of addressing and metadata standards.</p><br> <p>High-level written and verbal communication skills.</p><br> <p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Business Intelligence Tools L3<br>Data Governance L3<br>Data Marts L3<br>Data Quality Assurance L3<br>KPI Understanding L3<br>Leadership<br>Quality<br>Resilience<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Business Administration or any related field<br><br><br><br> </div>

???? Requirements• Bachelor’s degree in IT, Computer Science, Information Systems, Engineering, Data Analytics, or a related discipline• 7+ years of project/delivery management experience• Strong technical experience across Data Architecture, Data Integration, Data Quality, Metadata, Governance, BI, and Analytics• Proven experience delivering data, BI, analytics, or data-product initiatives from requirements through implementation and adoption• Ability to technically guide multidisciplinary data teams and challenge solution/design decisions• Hands-on or technical leadership experience with enterprise data platforms, BI, analytics, or data integration solutions<br>???? Preferred Certifications PMP | PRINCE2 | Agile/Scrum | Product Owner/Product Management | Informatica | Data & Analytics Certifications