Role: Senior Consultant
Location: Pan India

Shift Timing - 6:30 PM to 3:30 AM

Preferred Experience Level - 6 to 8 Years

Work Mode- Work from Home.

Role Summary:
Lead end-to-end shopper, basket, loyalty, and transaction analytics using Kroger Collaborative Cloud / 84.51 data to solve high-impact business questions for Customer Development, Shopper Marketing, and Analytics teams. Drive actionable insights across promotions, pricing, assortment, basket composition, and shopper behavior to support joint business planning and commercial strategy.

Key Responsibilities:

- Analyze large-scale shopper transaction, loyalty, and basket datasets using SQL/Python
- Deliver insights on promotion effectiveness, pricing, assortment, trip missions, basket analysis, and cross-purchase behavior
- Translate business questions into analytical frameworks and hypotheses
- Create executive-ready dashboards, visualizations, and strategic recommendations (Power BI / Excel / PPT)
- Partner with Customer Development, Shopper Marketing, Sales,



and Analytics stakeholders
- Ensure KPI consistency, business logic alignment, and methodology documentation
- Identify proactive opportunities within Kroger / retailer data for future business impact

Must-Have Skills:

- Advanced SQL (complex joins, large datasets)
- Python (pandas, analytics, hypothesis testing)
- Promotion, pricing, and assortment analysis
- Basket, trip, penetration, frequency, and cross-purchase analysis
- Executive storytelling and visualization (Power BI / Excel / PPT)

Preferred Experience:

- Kroger Cooperative Cloud / 84.51 Stratum / retailer loyalty platforms
- Retail / FMCG / Consumer Goods analytics
- Shopper marketing / joint business planning
- Circana / Nielsen or syndicated data exposure
- Consulting or project-based analytics delivery

Please share your updated resume to [email protected]

📌 Customer & Shopper Analytics Specialist (India)
🏢 Tekskills
📍 India