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.
1. 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.
2. 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.
3. 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.
4. Actionable Insights for Field Execution
• Convert insights into clear 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.
5. 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