Market Mix Modelling (MMM) Specialist

Responsibilities

• Collect, transform, and validate data required for Market Mix Modelling (MMM) using Python and Advanced Excel
• Manipulate raw datasets (Consumption, POS, Media, Medical Expert, and Finance) into model-ready formats
• Warehouse processed data in Azure and present insights using PowerBI
• Validate and derive insights to assist the modeling team in building hypotheses for MMM models
• Identify new ways to leverage internal and external datasets to generate business insights
• Manage small to medium-sized projects, including planning, tracking, and monitoring tasks
• Communicate statistical outputs in clear business language to stakeholders

Requirements

• 2-8 years of experience in Data Analytics, Data Manipulation, or Modeling within the CPG or Consumer Pharma domain
• Hands-on experience with Nielsen, IRI, or IQVIA datasets
• Proficiency in Advanced Excel and Python
• Strong knowledge of Marketing Mix Modeling (MMM), Pricing, or RGM
• Experience working with both online and offline media data
• Experience with BI tools, preferably PowerBI
• M.Sc. in Statistics, Mathematics, Operational Research, or a related technical field (B.Tech/MBA also considered)
• Excellent verbal and written communication skills

Preferred Qualifications

• Experience with Machine Learning (ML) and DevOps
• Knowledge of Azure Databricks, SQL, or PL/SQL
• Experience with R programming

About the Company

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation. Serving more than 700 clients across 10 industries, WNS combines deep domain excellence with AI-powered platforms and analytics to help businesses innovate, scale, and build resilience in a disruptive world.