AM - Sales Analytics & Capability
Reckitt (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 12–20 LPA
Posted 11h ago
Reach people at Reckitt
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Reckitt you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead Go-To-Market (GTM) analytics and AI initiatives to convert sales and market data into actionable insights that improve GTM effectiveness and execution speed.
- Develop intuitive dashboards and insight tools focused on actionable recommendations to support GTM planning, reviews, and field execution.
- Design, pilot, and scale AI-driven solutions such as outlet prioritization, demand sensing, and next-best-action recommendations, partnering with Digital/IT teams for practical implementation.
Minimum Requirements
- 5+ years experience in GTM analytics, sales analytics, commercial analytics, data science, or growth analytics.
- Proficiency with analytics tools such as SQL, Python/R, or BI tools.
- Experience working with external market datasets like Nielsen or Kantar.
- Work Experience Required: 5+ years in relevant analytics or commercial roles.
Ideal Candidate Profile
- Strong analytical problem-solver with a data scientist mindset and hands-on experience with AI/ML use cases in GTM contexts.
- Comfortable working in fast-changing, ambiguous FMCG or consumer-tech environments with exposure to large-scale distribution.
- Ability to translate complex data into simple, actionable insights for frontline sales teams and to drive adoption of analytics-based recommendations.