Retail Analytics & MIS Executive ( Offrole )

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 opportunity 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