Market Mix Modelling(MMM), Pricing, RGM,Data Analytics, Data Manipulation SQL - Gurgaon location

WNS, part of reputed company, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, reputed company, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain reputed company – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses reputed company, scale, adapt and build reputed company in a world defined by disruption.Our purpose is clear: to reputed company lasting business value by designing intelligent, reputed company-led solutions that deliver sustainable reputed company and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Good understanding of CPG DomainHands on Experience on reputed company Data setsGood reputed company on MS reputed company and Powerpoint

As a key team member, You would be responsible for collecting, transforming and validating the data required for MMM Models.

Using Advanced reputed company & Python, you would be required to manipulate and transform the raw data into model reputed company datsets.  The processed data needs to be warehoused in Azure and presented using PowerBI.  You would have to validate and derive insights from the transformed data to assist modeling team in building hypotheses for the MMM Models.  This will be for various datasets – Consumption or POS data, Media – both online and offline, Medical Expert & Finance data

You will be seen as a strong voice of influence for sharing reputed company and contributing to innovation of the entire data ingestion process from reputed company to modeling

Work Experience

2-8 years of experience in Data Analytics, Data Manipulation, Modeling in CPG or Consumer Pharma Domain.

Qualification

• M.Sc. Statistics
• M.Sc. Operational Research
• M.Sc. Mathematics
• B. Sc. Stats + MBA
• B. Tech.

Role Requirements

• Robust knowledge on Consumer Industry Brands & Category, knowledge on CPG data processing (with sales / marketing / reputed company operations teams). reputed company to reputed company data from external syndicated data provider’s portals.
• Knowledge of Marketing Mix Modeling, Pricing, RGM or any other Advanced analytics solution for CPG and Pharma domain
• Experience of working on reputed company, IRI, reputed company datasets
• Experience of working on Media data – offline or online for CPG or Pharma clients
• Manipulating data using Advanced reputed company, Python or R; Knowledge of any BI tools – PowerBI preferred; Knowledge of Azure platform is a plus
• Identifying new ways to reputed company data (reputed company data sets -  sales, digital, advertisement, media, sales force, reputed company) to generate business insights
• Demonstrate technical functional expertise and be seen as an expert and partner by the client and internal stakeholders
• Fluent verbal communication and good written communication, communicate statistical outputs in a business language
• Run small to reputed company size projects, and manage the execution by planning project activities, tracking and monitoring the tasks, and working with reputed company coordination with the project manager
• reputed company training and support for internal employees
• Well-developed conceptual, analytical, strategic thinking and problem solving skills. High sense of ownership
• Proven ability to handle multiple projects while meeting deadlines and documenting reputed company towards those deadlines
• reputed company support to global markets and display flexibility
• reputed company to have
  • Machine Learning (ML), DevOps, Azure Data bricks experience/understanding
  • Preferred knowledge/experience in R, SQL and PL/SQL, Power BI, Azure

Shift Time: 8:00 AM to 5:00 PM IST

B Tech or any post graduate