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If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Job Description
Role: Senior Data Engineer - RGM Data Analyst
Experience Level: 3 to 7 Years
Work location: Bangalore, Mumbai & Trivandrum
Notice Period: 0-15 days (Looking for immediate joiners/ Serving Notic
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.
Your primary mandate will be to proactively monitor and audit data inputs and system-generated recommendations, identifying anomalies, bias, data drift, data integrity issues and counter-intuitive promotional plans before recommendations reach client’s RGM and Customer Account teams. You will collaborate closely with internal technical teams , and client RGM leads, using advanced analytical skills to translate algorithmic outputs into compelling, actionable commercial stories that drive profitable revenue growth through the retailer sell-in journey.
Responsibilities:
- Pre-emptive Model Diagnostics: Routinely audit backend data pipelines and optimization engine outputs to identify ingestion errors, pricing mismatches, and data drift before recommendations are published to end-users
- Recommendation Sanity Checks: Stress-test TPO engine outputs (optimal frequency, discount depth, promotional mechanics) against commercial reality—identifying flawed recommendations stemming from contaminated baseline volumes, incorrect trade rates, or skewed price elasticities.
- Root-Cause Analysis: Partner with data engineering, Data Science and Optimization teams to diagnose and isolate issues across Data & DS pipelines and frontend reports
- Map TPO recommendations against real-world retailer trade architectures, customer calendars, and execution constraints to ensure feasibility during the retailer sell-in journey.
- Run scenario modeling and pre-/post-event evaluations to evaluate promotional ROI, cannibalization, halo effects, and trade spend efficiency across key accounts.
- Ensure data integrity by validating whether actual realized promotional plans and key metrics match with what is flowing into data and model pipelines
- Collaborate with data engineering, data science, optimization and UI/UX teams to continuously refine data feeds, system logic, and model tuning.
- Drive adoption of the tool by creating RGM focused content based on findings and data-driven insights
Technical Skills:
- SQL, Python and Excel for data analysis.
- Familiarity and comfort with using cloud based data and application environment like Azure and Databricks
Domain and Functional Skills:
● 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 3 to 7 years of professional experience
- SQL, Python, and Excel for data analysis
- Familiarity with Azure and Databricks cloud-based data and application environments
- CPG industry experience and familiarity with commercial analytics, price, pack, and promotion planning and measurement
- Data-driven storytelling and Revenue Growth Management functional knowledge
- Familiarity with RGM workflows and KPI frameworks
- Understanding of pricing, Price-Pack Architecture, mix management, trade terms, and promotion strategy
- Experience with POS, shipment, and CPG P&L data
- Ability to solve problems independently in ambiguous client environments
- Immediate joiner or serving notice period of 0 to 15 days
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
