Senior Data Engineer

Role Overview

We are seeking a data-driven, Revenue Growth Management function focused Data Analyst to optimize our Trade Promotion Optimization (TPO) product and enhance trade investment decision-making. In this role, you will bridge the gap between technical data pipelines and commercial execution, working directly with backend data pipelines, algorithmic model outputs, and front-end TPO interfaces.

What You Will Do

Pre-emptive Model Diagnostics, Recommendation Sanity Checks, Root-Cause Analysis, Map TPO recommendations against real-world retailer trade architectures, customer calendars, and execution constraints, Run scenario modeling and pre-/post-event evaluations, Ensure data integrity, Collaborate with data engineering, data science, optimization and UI/UX teams, Drive adoption of the tool by creating RGM focused content based on findings and data-driven insights

Why It Might Be a Fit

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!

Requirements

• SQL
• Python
• Excel
• Cloud based data and application environment like Azure and Databricks
• CPG industry experience and familiarity with commercial analytics, Price, Pack & Promotion planning and measurement
• Data-driven story telling and RGM functional acumen
• Familiarity with RGM workflows and KPI frameworks
• Strong understanding of RGM levers: Pricing, Price-Pack Architecture (PPA), Mix Management, Trade Terms, and Promotion Strategy.
• Familiarity and experience with POS, Shipment and CPG P&L data
• Self-Directed Problem Solver: Ability to operate effectively within ambiguous client environments and formulate solutions with minimal hand-holding.