Analyst III - RGM Data Science
The Kraft Heinz Company (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Transform, clean, and analyze CPG POS data using Excel, Python, SQL to enable reliable reporting and answer time-sensitive business questions.
- Apply supervised machine learning techniques (Regression, Decision Trees) for forecasting, driver analysis, and performance evaluation in the CPG context.
- Translate data insights into clear business narratives and recommendations for both technical and non-technical stakeholders.
Minimum Requirements
- Strong proficiency in Advance Excel, Python, SQL; Power BI is good to have.
- Experience working with CPG POS data, including sales, pricing, promotions, and distribution metrics.
- Knowledge of supervised machine learning techniques such as Regression and Decision Trees with model evaluation experience.
- Work Experience Required: Preferred 4-6 years in Data Science focused on Regression and Forecasting models in CPG or related analytics.
Ideal Candidate Profile
- Experienced in end-to-end data wrangling and analytics workflows across tools (Excel, Python, SQL).
- Demonstrated ability to deliver actionable insights under tight timelines, geared towards supporting CPG business decisions.
- Domain expertise in CPG data analytics, particularly price/promo impact on sales and assortment optimization.