Key Responsibilities

1. Retail Analytics & MIS

- Own and manage central Retail MIS covering network, store productivity, sales, growth and key Retail Excellence initiatives.
- Develop and maintain dashboards, trackers and management reports for Retail leadership and CFTs.
- Consolidate data from Sales, Marketing, Finance, Digital and other functions to create a single view of retail performance.
- Analyse store-level performance to identify:
- Growth and decline trends
- Productivity gaps
- Underperforming stores
- High-potential stores
- Regional/city/cluster opportunities

- Convert data into actionable insights and recommendations, rather than only reporting numbers.
- Establish standard KPIs and reporting formats across Retail Excellence initiatives.
- Provide data support for business reviews, monthly/quarterly reviews and leadership presentations.

2. White-space & Network Expansion Analytics

- Identify retail white spaces and expansion opportunities using market potential, existing network, sales performance and competitive/network data.
- Develop analytical models to assess potential opportunities at city, micro-market and store level.
- Support the Network Expansion team with data-backed identification of potential locations/markets.
- Analyse existing network coverage and identify:
- Under-served markets
- High-potential catchments
- Network gaps
- Cannibalisation opportunities/risks
- Expansion opportunities around existing network

- Create market chance dashboards/maps to support expansion planning.




- Track the network expansion pipeline from approved opportunity identified location onboarding launch post-launch performance.

3. Insight Generation & Business Partnering

- Work closely with Network Expansion, Retail Operations Excellence, Sales, Marketing and COS teams to understand business problems and translate them into data-led solutions.
- Proactively identify trends and opportunities rather than waiting for reporting requests.
- Conduct deep-dive analyses for specific business questions raised by Retail leadership.
- Quantify the impact of Retail initiatives and pilots.
- Build business cases and ROI analysis for key Retail initiatives wherever required.

4. Data Governance & Process Excellence

- Ensure accuracy, consistency and timeliness of Retail data.
- Define standard data sources, reporting processes and KPI definitions.
- Identify gaps in existing MIS and automate repetitive reporting wherever possible.
- Build scalable dashboards and reporting systems that reduce dependency on manual Excel-based MIS.
- Ensure data integrity through regular validation and reconciliation.

Ideal Candidate Profile

Experience: 57 years, preferably in Retail/FMCG/Consumer Durables/Consumer Electronics or a data-intensive business.

Skills:

- Advanced Excel
- PowerPoint
- Power BI / Tableau or similar BI tools
- Data analysis and interpretation
- Dashboard creation
- Business modelling
- Strong understanding of retail KPIs
- Market/network analytics
- Excellent presentation and communication skills

📌 Retail Analytics & MIS Executive ( Offrole ) (Noida)
🏢 Sheela Group
📍 Noida