Senior Data Engineer - Revenue Growth Management Analyst

Quantiphi Analytics Solution Pvt Ltd; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Quantiphi Analytics Solution Pvt Ltd is seeking a Senior Data Engineer focused on Revenue Growth Management (RGM) data analytics. You will optimize the Trade Promotion Optimization (TPO) product, bridge data pipelines with commercial execution, and audit data inputs and model outputs to ensure accurate recommendations.

You will collaborate with data engineering, data science, optimization and UI/UX teams to refine data feeds, validate KPIs, and translate algorithmic outputs into actionable

Qualifications

• 3–7 years of experience in data analysis and data engineering
• Strong SQL, Python and Excel for data analysis
• Experience with cloud data environments (Azure) and Databricks
• Familiarity with RGM, pricing, and trade analytics is a plus

Responsibilities

• Pre-emptive model diagnostics and auditing data pipelines and outputs
• Sanity checks on TPO engine results and promotional plans
• Collaborate with data engineering, DS, optimization and UI/UX teams
• Map TPO recommendations to retailer trade architectures and calendars
• Run scenario modeling and evaluate promotional ROI and trade spend efficiency
• Validate data integrity across data pipelines and model inputs
• Drive tool adoption with RGM-focused data-driven content

Skills

SQL proficiency

Data analysis

Communication

Problem solving

Tools

Azure

Databricks

Job description

Senior Data Engineer

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!

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 ! Experience Level Senior Level