DescriptionDescription
Job Objective:
To work with the team of data scientists in marketing analytics such as marketing mix modelling, price and promotion, forecasting etc. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.
Designation: Associate Consultant
Job Location: Bangalore/Chennai/Gurgaon
Type of employment: Permanent
Job description:
Roles and Responsibilities:
Analyse syndicated and non-syndicated data to build Marketing Mix Model and provide insights to support the Marketing Investment
Leverage learnings from these analyses to create strategic recommendations for Media and Trade in line with the Brands objective
Articulate complex Marketing Mix, promo, Price relationships and data in a visually clear, concise manner that is easy to understand for business
Use Data Science, Machine Learning, Artificial Intelligence, Operational Research technique to develop data models Experience of working with sales and Media data and Knowledge of Marketing Mix Analysis
Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS
Mine data through various technologies like PySpark, SQL, Big Query
Understanding of hierarchy linear models, multiple linear regression, and media optimization
Ability to create a model & simulation tool from scratch
Good written, verbal, and presentation skills with the ability to generate and present meaningful insights
Manage and collaborate across teams - providing input into the solution architecture
Develop project plans including milestones, dates, owners, and risks and contingency plans
Contribute to the development of a knowledge base, build case studies, and work with new business teams to demonstrate the value of an integrated approach
Knowledge of a variety of machine learning techniques (Monte Carlo Markov Chain, decision tree learning, hierarchical model etc.) and their real-world advantages/drawbacks.
Understanding of Monte Carlo simulation techniques and dynamic linear regression models
Requirements:
3.5-5.5 years of professional experience in advanced data science focused on, Econometric Modelling, Marketing Analytics, Market Mix modelling, Multi-touch Attribution, Micro-segment Attribution, Unified Measurement, Marketing Budget Optimization, TV attribution etc
Bachelor’s in economics/Maths/Stats and/or Masters in Statistics, Marketing, Finance, Operations research
Experience with third-party data i.e., syndicated market data, Point of Sales, etc.
Should be inquisitive and have a learning mindset
Willingness and ability to experiment with new tools and techniques
Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings
Familiarity with the application of analytics to sales, marketing, or managed markets problems
Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment
Should have sound experience in data mining and data analysis
Strong conceptual & working knowledge of Statistical models
Ability to maintain personal composure and tactfully handle difficult situations
Additional Skills:
Previous work experience of pharma domain would be plus
