Senior Data Engineer
Quantiphi
IN KA Bengaluru; IN MH Mumbai Quantum Posted about 17 hours agoDiscoveredMatch locked
Full time3+ years exp
About the role
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
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!
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.
• 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 !
Not included in the source posting: about the role, benefits.
Skills
excelazuredatabrickspythonsqluiux
Who can apply
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