Senior Data Engineer
Quantiphi (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Monitor and audit backend data pipelines and Trade Promotion Optimization (TPO) engine outputs to detect data integrity issues and flawed commercial recommendations before client delivery.
- Conduct root-cause analysis by collaborating with data engineering, data science, and optimization teams to resolve data and modeling pipeline issues.
- Translate algorithmic outputs into actionable commercial insights, ensuring feasibility of promotional plans against real-world retailer constraints and driving profitable revenue growth.
Minimum Requirements
- 3 to 7 years of relevant work experience in data analysis within the Consumer Packaged Goods (CPG) industry or related commercial analytics roles.
- Proficiency in SQL, Python, and Excel for data analysis; familiarity with cloud platforms like Azure and Databricks.
- Experience with RGM (Revenue Growth Management) workflows and KPI frameworks, including Pricing, Price-Pack Architecture, Mix Management, Trade Terms, and Promotion Strategy.
- Notice period: 0-15 days; immediate joiners preferred; locations: Bangalore, Mumbai, or Trivandrum.
Ideal Candidate Profile
- Experience bridging technical data engineering and commercial execution, especially in Trade Promotion Optimization environments.
- Strong analytical and problem-solving skills to operate autonomously in ambiguous client settings and perform root-cause analyses.
- Demonstrated ability to convert complex algorithmic and data outputs into clear, actionable business insights driving retailer sell-in revenue growth.