We are looking for a Retail Business Analyst to drive business understanding, use case scoping, and value realization for a strategic data science and data engineering transformation at a Retail Company. The ideal candidate will have a strong background in retail planning, merchandising, supply chain, or customer analytics, and can act as a bridge between business stakeholders and the data/engineering teams.

Key Responsibilities include :-

1) Business Engagement

• Collaborate with Retail stakeholders (category managers, planners, supply chain, analytics team) to understand business goals and pain points
• Gather and document detailed business requirements for use cases like demand forecasting, assortment planning, price optimization, customer segmentation, data migration, etc.
• Support discovery workshops, interviews, and process walk-throughs

2) Use Case Translation

• Translate business processes into functional specs and data requirements
• Define KPIs, success metrics, and data granularity expectations
• Assist data scientists by validating model assumptions and interpreting forecast or recommendation outputs and data engineers with migration requirements, building of medallion architecture, delta load logics, table definitions, column definitions, etc.

3) Retail Domain Expertise

• Bring in domain expertise from grocery/FMCG/fashion retail to guide the design of ML models (e.g., what is a good forecast, how promotions affect demand)

4) Project Execution

• Work closely with product managers, data engineers, and modelers to track use case delivery
• Support UAT, user training, and documentation for dashboards or decision tools