Job Description

Ipsos is a 3rd largest global Market Research company with 5k+ clients. MMA (Marketing Management Analytics) is the analytics division of Ipsos and an industry leader in the areas of Marketing Mix ROI and Optimization. Ipsos MMA is renowned for the billions of dollars in incremental value it has created with Fortune 500 companies through its holistic unified marketing measurement and optimization solutions and services, including data harmonization and management, marketing mix modeling, multi-touch attribution, performance management tracking and optimization, scenario planning, pricing and testing.
With more than 350 analytics & consulting experts, our offices are located in New York, Chicago, Norwalk CT ,London, Shanghai , Tokyo and Bangalore .
We are looking for skilled professionals seeking to work in a dynamic, fast-paced environment with a focus on predictive analytics, client and project management, and strategic consulting. Technical Skills
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Technology savvy – Must have technical skills such as SQL, SAS and R
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Good at basic technical skills in MS excel – Vlookup’s, Pivots, excel formulas and etc.
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Customize data process and number crunching ability to validate data of different sources.
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Perform research and identify the data complexities from different verticals. Soft Skills
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Coordination with internal and onsite team to achieve desired goals.
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Take ownership and deliver independently.
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Proactively solve issues and adhere to project timelines
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Multitasking
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Ability to work under pressure.
Role Description
This is the entry level position in the Delivery Career Hierarchy, responsible for generating statistical models and insights to help clients answer key questions, including how to drive more efficient and effective marketing, optimize pricing and promotion decisions, improve marketing ROI, achieve both short- and long-term brand equity objectives, optimize channel effectiveness, and better forecast and plan. This role requires a Master’s degree in an acceptable field of study (statistics, economics, operations research, quantitative marketing, or related). Other Details