Hiring Sales Analytics

Company : RSPL Group is more than 6,000 Cr diversified conglomerate, which is committed to value for money propositions & credited with several innovations over last 3 decades. The sagacity to weave its business around consumer needs has conferred RSPL Group with a distinct value and identity. Efficient capital structure, cutting edge technology, operational discipline and a widespread distribution network, have together attributed to enhance RSPL Group and enabled the organization to deliver value to consumers.

Diversified Group having product category in FMCG, Dairy Products, Hygiene Care, Foot wear, Real Estate, Renewable Energy.

Diversified Group

• Segment 1 - S&D vertical: Ghari detergent and cake, Machine wash, Venus soap and Glori.
• Segment 2

Namaste India Foods Pvt. Ltd- Full-fledged dairy products range: milk, ghee, curd, ice cream, butter, masala Chach, dairy whitener etc. Leayan Global Pvt. Ltd.- Leather shoes & apparels (Red Chief) and Sport shoes & apparels (Furo)

• Segment 3 - HCD vertical: Proease Sanitary Napkin, Xpert Utensil cleaning range (Bar/Scrubber/Liquid/sponges), Uniwash detergent powder (Mid premium detergent), Lovingle Baby diaper.

About HCD (Approx. 1350 CR to the group)HCD is into Hygiene, Utensil and Laundry care division. It has five manufacturing units in India and two in Bangladesh & One in Ethiopia. Product segments of RSPL ltd. for international markets are taken care by HCD division.

This job is for HCD Division.

Job Title: Sales Analytics Manager

Function: Analytics & Insights

Experience: 5- 8 years in FMCG sales analytics

Reports to: Head Consumer & Market Insights (CMI) and Analytics

About the Role

Were looking for a sharp, data-driven Sales Analytics Manager to join our CMI & Analytics team in Gurugram. In this cross-functional role, you will partner closely with the Sales Head and Sales Leadership Team to deliver actionable insights that drive commercial strategy, enhance sales performance, and unlock growth across our FMCG portfolio.

While you will be deeply embedded in sales decision-making, you will report into the Head of CMI & Analytics, ensuring analytical rigor, objectivity, and alignment with broader data strategy and business intelligence frameworks.

Key Responsibilities

1. Sales Performance Tracking & Reporting (Primary / Secondary / Tertiary)

2. Analyze and harmonize data across DMS, CRM, ERP, and syndicated sources (e.g., NielsenIQ, Kantar).

3. Build interactive dashboards (Power BI/Tableau/Excel) to track:
4. SKU-level, channel-wise, and regional sales performance
5. Distributor health, product mix, contribution margins
6. Market share trends and internal vs. external benchmarks

7. Lead monthly and quarterly reviews with the Sales Head and regional teams.

8. Market & Competitive Intelligence

9. Decode off-take, category shifts, and competition using syndicated tools.

10. Highlight whitespace, under-leveraged channels, and emerging demand pockets.

11. Promo & Trade Scheme Effectiveness

12. Assess ROI of trade promotions, discounting, and retail programs.

13. Recommend sharper targeting and spend optimization strategies.

14. Forecasting & Planning Support

15. Partner with Sales & Supply Chain to create robust forecasts using historical data, trend analysis, and business inputs.

16. Support AOP, quarterly target setting, and territory-level planning.

17. Distributor & Channel Analytics

18. Analyze stock rotation, fill rates, and coverage to flag risks and improve distributor productivity.

19. Deep-dive into channel-specific drivers (GT, MT, E-comm) for tailored action.

20. Strategic Sales Insights

21. Package complex data into crisp, actionable insights for Sales, Trade Marketing, and Brand teams.

22. Influence commercial strategy through storytelling, not just numbers.

23. Tools, Systems & Data Integrity

24. Own data accuracy, availability, and standardization across reporting platforms.

25. Identify tool upgrades and automation opportunities to scale insights delivery.

Who We're Looking For

Technical Skills

• Advanced Excel (lookups, pivoting, macros)
• Power BI / Tableau strong dashboarding experience.
• Working knowledge of CRM / ERP (SAP, Salesforce)
• SQL preferred; R / Python a plus, not mandatory

Core Competencies

• Strong analytical and commercial acumen
• Ability to distil large datasets into compelling business insights
• Excellent presentation and communication skills
• High ownership, structured thinking, and comfort with ambiguity
• Collaborative, with a solution-first mindset

Recruiter Name : Nancy Goyal

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