Analyst III - RGM Data Science
This role focuses on transforming and cleaning POS data from the CPG sector using advanced Excel, Python, SQL, and Power BI to generate actionable insights for stakeholders. The analyst will also build and evaluate regression and decision tree models to forecast performance and identify key drivers.
Skills required
About this role
Job Description
Role Summary
We are seeking a data professional with strong capabilities in Advance Excel, Python, SQL, and Power BI to transform and analyze data, deliver high-quality ad hoc insights, and support business decision-making in the CPG industry. The ideal candidate has proven experience working with POS data and can translate complex data into clear, actionable insights for stakeholders.
Key Responsibilities
- Transform, clean, and prepare data using Excel, SQL, and Python to enable reliable reporting and analysis.
- Deliver ad hoc analysis using the appropriate tools (Excel/Python/SQL/Power BI) to answer time-sensitive business questions.
- Apply supervised machine learning techniques—especially Regression and Decision Tree models—to support forecasting, drivers analysis, and performance evaluation.
- Work with CPG POS data (e.g., retailer/market-level sales, pricing, promotions, distribution) to identify trends, issues, and opportunities.
- Translate data outputs into clear business narratives, insights, and recommendations; communicate findings effectively to both technical and non-technical audiences.
- Ensure data quality and consistency across sources; document logic, assumptions, and definitions where needed.
Required Qualifications & Skills
- Strong hands-on proficiency in Advance Excel, Python, SQL, and Power BI (Good to have).
- Demonstrated ability to transform and model data across tools (data wrangling, joins, aggregations, validation).
- Proven experience delivering ad hoc analytics and synthesizing insights under tight timelines.
- Strong knowledge of supervised ML, specifically Regression and Decision Tree approaches (including model evaluation and interpretation).
- Experience in the CPG industry, with confirmed work on POS data and related performance metrics.
- Ability to translate data into insights and recommendations aligned to business objectives.
Preferred
- 4-6 years of experience in Data Science creating Regression, Forecasting Models from Scratch to understand Impact of Price N promotion on Sales
- Experience with forecasting, price/promo analytics, or assortment optimization in CPG.
- Familiarity with best practices in data governance, documentation, and stakeholder reporting.
- Hands-on experience and strong understanding of Advance Excel and Python along with Power-BI (Good to have)
Location(s)
Bengaluru - Brookfield GCCKraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.
