Growth Analytics Manager

Overview

The Growth Analytics Manager owns the business intelligence layer for Haleon India's e-commerce (DCommerce) business, turning platform and market data into decisions across marketplaces, quick commerce and e-pharma.

What you'll do

• Design platform dashboards in Power BI (or equivalent) on top of the clean data layer provided by the Data Analyst, owning the business logic, visuals and usability.
• Build the analytics reporting module within the existing DCom dashboard, including platform views, NPI tracking shown separately from base business, and multipack and combo views.
• Maintain a dashboard release and QC checklist so numbers reconcile across offtake, MRP, NSV and platform-reported views.
• Define metrics and KPIs for DCom, including multipack and virtual combo treatment and platform-specific quirks such as Amazon Core, Fresh and Now, and sign off every dashboard before it reaches leadership.
• Build city-level views of share, offtake, availability and pricing using city and pincode mapping on external data.
• Identify under-indexed cities and clusters by brand and platform, and convert them into specific actions on assortment, availability, visibility and activation.
• Track daily share movements at brand and subcategory level, flagging material shifts, competitor moves and root causes within the same week.
• Run weekly, monthly and quarterly performance reviews covering what happened, why, and what to do, with owners and follow-up on actions.
• Deliver brand and platform deep dives that lead to a decision, such as share erosion, out-of-stock impact on a hero SKU, or a pricing gap versus competition.
• Partner with Digital Shelf to bring shopper research into the business narrative.
• Own promo effectiveness analytics for e-commerce, covering uplift, ROI and cannibalisation by platform and brand.
• Manage the promo planning file and its platform-wise splits so one master plan is adapted and shared correctly with each platform.
• Support the annual and quarterly planning cycle with baselines, scenario models and growth lever sizing by brand, platform and city tier.
• Contribute to channel mix and competitor benchmarking so strategy is anchored on external facts as well as internal data.

What you'll need

• 3-6 years in business analysis, e-commerce analytics, category management or BI, ideally in FMCG or consumer health.
• Strong Power BI (or Tableau) skills, with experience building dashboards end to end including data modelling and DAX or equivalent.
• Advanced Excel (Power Query, complex modelling) and working SQL.
• Sound understanding of Indian e-commerce and quick commerce, including how offtake, share, availability and pricing behave across platforms.
• A structured storytelling habit: moving from what happened, to why, to what to do, and defending the number in the room.
• Comfort questioning data, spotting anomalies and pushing back on numbers that do not reconcile.

Nice to have

• Python.
• Experience with digital shelf or market share tools such as Gobblecube, NIQ, Profitero or similar.
• Exposure to promo analytics, pricing or RGM-style analysis.
• City or geo-level analysis experience (pincode, dark store or cluster mapping).
• Prior experience supporting annual planning or QBR cycles.

Details

• Location: Gurgaon, Haryana, India.
• Job posting end date: 16 November 2026.