Overview
Staff Data Analyst for the Retail and Selection team, responsible for shaping data strategy and turning market and internal data into insights for selection, pricing, and inventory decisions.
What you'll do
- Lead projects that improve selection-data quality and reliability.
- Architect and maintain ETL processes integrating market, vendor, and customer-demand signals.
- Use LLMs and prompt engineering to automate catalog categorization and extract vendor-data insights.
- Build decision models for SKU rationalization, replenishment, and competitive benchmarking.
- Run simulations to assess selection changes on retention and profitability.
- Translate analytical findings into actionable narratives for Retail and Supply Chain executives.
- Mentor analysts and support business-user onboarding through training and self-service dashboards.
What you'll need
- 8+ years of relevant experience in data analytics or business intelligence.
- Expert-level SQL and Python or R skills.
- Practical experience with prompt engineering and generative AI tools.
- Mastery of Power BI, Tableau, or similar visualization tools.
- Business-level English and the ability to teach non-technical users.
Nice to have
- Experience with GitHub and Airflow.
- Experience managing internal wikis or structured knowledge bases.
- Retail, e-commerce selection-management, or demand-forecasting experience.
- Knowledge of statistics and machine-learning techniques.
Details
- Location: Bengaluru.
- Work model: Hybrid.
Read the full description and apply on the company’s own careers page.