PEPepsico india
Manager - Sales
Hyderabad ₹4-8 LPA Posted 5 May 2025
FULL TIME
Predictive Modeling
Pyhton
Ms Office
Sql
Clustering
+2 more
Job Description
Overview
- Monitor market category, customer and competitor performance across key AMESA markets and execute scorecard reporting for top customers at required intervals and generate scorecards and performance overviews (quarterly/adhoc for key customers) for the categories and customers
- Leverage multiple data sources (Nielsen/IRI, Household panel data, Customer scan/loyalty data) and market/customer understanding, to support AMESA DX
- Supports in the creation and driving of winning execution strategies in-store with customers.
- Identifies sales opportunities and optimization tactics to drive category demand, space and shopper KPIs
- Analyze and prepare reports on Promotions and NPD performance and benchmarking in external views (Nielsen, dunnhumby etc.) to measure and optimize, to drive category growth
- Able to collaborate and work with BU teams and external third party agencies to acquire information and resolve any service issues on projects
Responsibilities
- Ability to work in diverse teams
- Language skills English – business fluent
- Possess ability to analyze & benchmark competitive scenarios
- Excellent written and oral communication skills; consistently communicates using appropriate methods for situation and audience in clear, concise and professional manner
- Ability to work collaboratively and proactively with multi-functional teams
- Be flexible, organized and able to handle competing priorities
Qualifications
- Bachelors' degree in Business, Marketing, Engineering: MBA a plus
- Experience in Python/SQL/Predictive modelling and Clustering is mandatory.
- 6yrs+ insights/ analytics experience.
- Prior FMCG experience is good to have.
- Advanced Microsoft Office / PowerPoint & Excel skills
- Can synthesize multiple disparate data sources into compelling growth strategies/reviews
- Can easily see how insights and research learnings can improve business and frames up reporting efforts and opportunities to inform business decisions
