Role Purpose To act as the analytics and AI catalyst within the GTM team, converting data, market intelligence and advanced analytics into sharp, creative, execution-ready actions that improve GTM effectiveness, speed and precision.

This role is designed for a curious, hands-on problem solver who thinks like a data scientist, speaks the language of sales, and enjoys building new-age solutions.

Key Responsibilities

- GTM Analytics & Insight Creation

•Analyze sales and execution data across channels to uncover patterns, anomalies and opportunities

•Build light, intuitive dashboards and insight tools focused on action, not reporting.

•Move beyond “what happened” to why it happened and what to do next.

•Support GTM planning, reviews and execution through data-backed recommendations.

- External Market & Competitive Scoping

•Work closely with Nielsen, Kantar and other external data partners.

•Combine external market, category and shopper data with internal sales data to identify white spaces, competitive risks and GTM opportunities.

•Translate complex external datasets into simple GTM stories for sales teams.

- AI & Advanced Analytics in GTM

•Apply a data-science mindset to GTM challenges using AI/ML concepts and tools.

•Build and test AI-led use cases, such as:

•Outlet and beat prioritisation

•Demand sensing and trend detection

•Scheme and promo effectiveness

•Next-best-action recommendations

•Partner with Digital/IT teams to prototype,



pilot and scale AI solutions.

•Ensure solutions are practical, explainable and field-friendly.

- Actionable Insights for Field Execution

•Convert insights into explicit actions, nudges and recommendations for frontline sales teams.

•Design simple insight packs, alerts and GTM playbooks embedded into sales routines.

•Support adoption by keeping outputs visual, intuitive and easy to act on.

- Ways of Working & Capability Building

•Bring creative problem-solving and new thinking into the GTM team.

•Challenge traditional reporting with faster, smarter analytics approaches.

•Help build a culture of experimentation, learning and data-driven execution within GTM.

Candidate Profile

•5+ years experience in GTM analytics, sales analytics, commercial analytics, data science or growth analytics

•Strong analytical and problem-solving orientation; thinks like a data scientist

•Exposure to Nielsen/Kantar or similar external market datasets

•Hands-on with analytics tools (SQL, Python/R, BI tools, or similar)

•Curious, creative, and comfortable working in fast-changing, ambiguous environments

•FMCG, consumer-tech or large-scale distribution exposure preferred

What Success Looks Like

•Go-To-Market decisions influenced by insights

•Faster experimentation and sharper execution on ground

•High adoption of analytics and AI outputs by sales teams

•Tangible improvement in GTM productivity and focus

📌 AM- Sales Analytics & Capability (Gurugram)
🏢 Reckitt
📍 Gurugram