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Description Description 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 Show more Show less
