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Data Science Analyst (Standard) @ Infogain

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 Data Science Analyst (Standard)

Job Description

* Forecast categories and offtake monthly in a rolling forecasting cycle which happens four times a year.
* build regression models using coding softwares/ tools which enable better forecasting/ triangulation
* identify category and larger market trends which are happening and look at how they can impact our category forecasts
* Triangulating external data sources with internal sales (Nielsen, Kantar world panel) to identify opportunities and present this in commercial reviews
Core Job Responsibilities
* Market Research- Reporting/ Analytics :
* Work closely with finance and marketing to forecast the category and our offtakes and then triangulate with internal sales for deriving monthly share projections, all India, channel level, zone level
* Drive data based insights monthly to drive business growth by identifying problems/ opportunities as presented in Nielsen/ KWP data
* Support ROI measurement and pricing studies done using Market Mix models by external agencies
* Work closely with the research counterpart to bring together an integrated research insights and analytics view for the various brands
EXPERIENCE
  • 4.5-6 Years
SKILLS
  • Primary Skill: Data Science
  • Sub Skill(s): Data Science
  • Additional Skill(s): Python, Power BI, Data Modeling, Data Science, SQL

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Mumbai

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Keyskills:   data science Coding Data modeling Market research power bi Research Forecasting Analytics SQL Python

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Infogain

A Silicon-Valley headquartered company, Infogain is a global business oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clients€™ interactions with their cus...