Senior Executive Sales MIS

Position Title: Sales Analytics Executive. Business Units: Godrej Agrovet Ltd. Function: Sales Development / Commercial Excellence. Location: Mumbai.

Purpose of the Role

The Sales MIS & Analytics Executive supports the Sales Development team by managing end-to-end sales MIS and transforming large sales and market datasets into actionable insights across the FMCG and Agrovet businesses. The role combines strong data management and reporting discipline with hands-on analytics capability (SQL, Python, Power BI) to improve sales productivity, distribution effectiveness, scheme/claims management and go-to-market execution.

Key Responsibilities

• Sales MIS & Reporting: Own the end-to-end Sales MIS: collate, clean, validate and consolidate primary sales, secondary sales, distributor and outlet-universe data from SFA/DMS, depots and internal systems. Prepare and circulate daily, weekly and monthly sales reports covering volume, value, sell-in/sell-out, market share, scheme performance and target vs. achievement. Manage distributor claims, scheme pay-outs and secondary sales reconciliation in coordination with Sales and Finance teams. Support target setting, incentive calculations, monthly S&OP, budgeting and forecasting cycles with accurate historical data and trend analysis. Automate existing reporting processes and templates to reduce manual MIS effort and improve turnaround time.
• Analytics & Insights: Analyse large FMCG sales datasets, including Primary and secondary sales. Distributor data. Outlet universe data. Beat and route productivity data. Sales force execution data. Market share and retail audit data. Build and maintain automated dashboards and KPI trackers using Power BI for sales leadership. Use Python and SQL to clean, process and analyse large datasets (including multi-million-record databases). Generate insights on distribution gaps, sales productivity, territory performance, outlet coverage, range selling and route-to-market effectiveness. Track competitor activity and secondary data sources (e.g. NielsenIQ/Kantar) to support market share analysis. Ensure data integrity and hygiene across SFA/DMS and ERP systems; troubleshoot data gaps or discrepancies with IT and field teams.
• Business Partnering: Partner with Sales, GTM, Commercial Excellence, Revenue Growth Management, Finance and Supply Chain teams to provide data support for business reviews and monthly/quarterly performance meetings. Present insights clearly to sales and business stakeholders to support territory planning, demand forecasting, scheme design and channel strategy.

Candidate Profile

• Experience: 2 to 5 years of experience in FMCG Sales MIS, Sales Analytics, Commercial Analytics or Business Analytics. Experience working with Sales, GTM, Commercial Excellence or Revenue Growth functions, preferably within FMCG, Agribusiness or related consumer/rural-facing sectors. Exposure to large FMCG sales databases is mandatory.
• Must-Have Skills: Advanced Excel and PowerPoint. SQL and Power BI (dashboarding and KPI tracking). Python, Pandas preferred, for cleaning, processing and analysing large datasets (millions of records). Solid understanding of sales data structures primary/secondary sales, distributor claims, schemes and channel hierarchies (General Trade/Modern Trade / E-commerce / Institutional). Experience working with SFA (Sales Force Automation), DMS (Distributor Management System) or ERP platforms (SAP preferred). Strong analytical and problem-solving skills with the ability to convert data into clear, actionable business insights. High attention to detail and accuracy in data handling and reporting; ability to manage multiple reporting timelines under pressure.
• Strongly Preferred: Databricks, PySpark and Azure Data Platform experience. NielsenIQ / Kantar data exposure. Distributor Management Systems (DMS) and Sales Force Automation (SFA) data experience. FMCG route-to-market analytics experience. Basic AI knowledge (e.g. ChatGPT, Claude) for productivity and analysis.

Qualifications

• Graduate/Postgraduate in Commerce, Statistics, Business Administration or a related field.

Key Interfaces

• Internal: Sales teams (ASMs/RSMs), Sales Development, Commercial Excellence, Finance, Supply Chain, IT.
• External: Distributors, C&F agents, market research/data agencies (NielsenIQ, Kantar).

Work Experience

• 2-4 years.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.