Job Responsibility:

The Data Business Analyst will play a crucial role in driving multiple IT-related projects focused on

creating robust Business Intelligence (BI) capabilities. This position requires a deep understanding of

data governance, Entity-Relationship Diagrams (ERDs), and data architecture. The ideal candidate

will work closely with cross-functional teams to gather requirements, analyze data, and develop

solutions that support data-driven decision-making across the organization.

● Data analysis – Creatively obtain and vet data, develop and execute quantitative analyses with

(potentially incomplete) data, cross-check results to identify potential inconsistencies or

● limitations. Define detailed functional requirements, process flow diagrams, and business cases;

including gap and impact analysis.

● Business insights – Understand business implications of observations, interviews, and analyses.

Establish and support the rhythm of business activities related to reporting, including

● audit planning cycle and metrics

● Agile Business Analysis for data practices– Define data loading, cleaning, processing

requirements or user stories for business intelligence / data analytics projects. Perform source

● data analysis for requirements study. Build data catalogue or data mapping documents. Follow

standard agile practices and healthy backlog building with acceptance criteria that meets

● definitions of ready. Participate in data quality assurance test case reviews and in requirements

for data integrity checks.

● Leadership - Coordinate cross-functional teams to execute key value creation (top and bottom

line) and manage transformation initiatives

Sensitivity: Restricted

● Communication – Craft polished written communications and deliver oral communications of

findings and recommendations in an effective and efficient manner

● Influence – Collaborate positively with project stakeholders to secure support and implement

recommendations in a fast-paced environment

● Strategy – Develop business segment strategies, research markets & competitors, articulate

value propositions, and identify growth opportunities

● Problem structuring – Identify key issues, develop hypotheses and methodology to verify or

refute them

Must Have Skills

Excellent analytical and problem-solving skills.

Strong communication and interpersonal skills, with the ability to work effectively with both

technical and non-technical stakeholders.

Proficiency in SQL and other data querying languages.