Jobs / IT, Software, Analytics / Job #1735

Business Analyst – Trade Promotion Optimization

Ryan agency
Maharashtra, India Permanent Rs. 1,50,000 - 1,90,000

Job Description

Posted September 14, 2026
We are recruiting "Business Analyst – Trade Promotion Optimization" for our client in Maharashtra.

Business Analyst – Trade Promotion Optimization
(TPO) Experience: 3–6 years Commercial analytics +
data readiness
Purpose: Own the business- to- data science hand- off for promo investments, ensuring pricing, discounts, trade terms,
budgets, margins, cannibalization rules, POS thresholds and customer constraints are complete, validated and optimization-
ready before model build, simulation and solver runs.
Role scope
• Act as the commercial bridge
between business teams and Data
Scientists for TPO cycles.
• Collect and validate promo
investment inputs: pricing,
discounts, promo combos, trade
terms, baseline sales, costs,
margins, and budgets.
• Translate commercial
requirements into model- ready
templates, constraint rules and
optimization payloads.
• Coordinate clarifications with
category, sales, finance, RGM and
customer teams before
optimization runs.
Relevant work areas
• Revenue Growth Management,
Trade Promotion Management, or
Trade Promotion Optimization.
• Category management, sales
finance, commercial planning,
demand planning or retailer
analytics.
• Nielsen/NIQ, retailer EPOS,
customer P&L, promo calendars,
pricing files and master data
experience preferred. Key responsibilities
• Maintain input templates, data
dictionaries, business rules and
readiness checklists for each
optimization cycle.
• Pre- check data quality: missing
fields, duplicate master codes or
PPG mappings, inconsistent price
or discount logic, week/date
alignment and outliers.
• Validate business constraints:
brand budget, max promos, weeks
between promos, customer
margin, POS sales and
cannibalization matrix rules.
• Document assumptions, signoffs,
unresolved questions, change logs
and rationale for any pre- modelling
adjustments.
• Support interpretation of outputs
such as selected promotions, iGP,
iNTS, K_ROI, budget utilization, and
business trade- offs. Skills required
• Strong FMCG/CPG commercial
analytics understanding across
pricing, promotions, retailer
investments and gross margin.
• Advanced Excel and structured
data QA; Python, SQL and
Databricks preferred.
• Ability to understand optimization
basics: objective functions,
constraints, feasibility, solver
diagnostics, and promotional
calendars.
• Excellent stakeholder
communication, documentation
discipline and business- to- technical
translation.
Success measures
• More optimization runs through
pass input validation on first
submission.
• Fewer business clarification loops
for Data Scientists.
• Clear traceability from business
assumptions to modelling inputs
and final recommendations.
5- line business case: why this person is needed
1. Creates clear ownership for converting commercial promo intent into validated, optimization- ready inputs.
2. Reduces time Data Scientists spend on data gathering, formatting, validation and repeated business follow- ups.
3. Improves optimization quality by catching gaps in pricing, discounts, budgets, cannibalization and constraints before
modelling starts.
4. Builds business confidence through transparent assumptions, documented signoffs and clearer explanation of
promotional recommendations.
5. Lets the Data Science team focus on algorithms, model accuracy, diagnostics and scenario optimization rather than
upstream data wrangling.
Suggested title options: Business Analyst – TPO Readiness | Commercial Optimization Analyst | RGM Optimisation Business Analyst
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