Manager - Pricing & Commercial Analytics

Role Positioning

Recommended scope: a pricing-anchored analytics role with a broader commercial data-analytics mandate. The role owns day-to-day pricing analytics for assigned categories and may also lead cross-functional BIC analyses where pricing, customer, assortment, promotion, margin, or operational performance intersect.

Key Responsibilities

1. Pricing & Commercial Analytics

• Classify and maintain SKU-level pricing roles, including Traffic Builder, KVI, EDLP, Promotion, and Normal Margin Builder, and apply Commercial-approved pricing logic.
• Build, maintain, and improve the Price Dashboard, Focus Product Board, Price Index, margin views, and other decision-support tools; ensure agreed data freshness and accuracy.
• Review and validate AI price-decision recommendations before they reach Commercial; identify anomalies, explain key drivers, and recommend appropriate actions.
• Partner with the Data Science team on price elasticity, cross-elasticity, substitution, basket-impact, promotion, and markdown analysis.
• Build margin-mix, price-change, and scenario simulations to support pricing, promotion, and assortment decisions.
• Evaluate price and promotion performance after implementation and translate results into specific recommendations for Commercial and leadership.
• Validate competitor data, SKU matching, and price-index calculations before they are used in dashboards, models, or decisions.

2. Broader BIC Data Analytics

• Lead ad-hoc and structured analyses across commercial and operational topics, including sales, customer, category, assortment, margin, productivity, and process performance.
• Frame business questions, define success metrics, develop analytical approaches, and convert findings into practical recommendations and business cases.
• Develop robust analytical models using SQL, BI tools, Python, and appropriate statistical techniques such as correlation, regression, hypothesis testing, forecasting, or segmentation.
• Create management-ready reports, presentations, and dashboards that explain what happened, why it happened, what is likely to happen next, and what action should be taken.
• Measure the impact of pilots, pricing actions, and business initiatives; conduct root-cause analysis and recommend corrective actions where outcomes differ from plan.

3. Data Quality, Stakeholder Partnership & Delivery

• Own the accuracy of data and logic used in assigned analyses, dashboards, and models; reconcile exceptions with relevant data owners.
• Work directly with Commercial, Finance, Operations, Data Science, BI Development, and other stakeholders to align definitions, priorities, and actions.
• Manage analysis delivery from problem definition through recommendation, implementation tracking, and outcome measurement.
• Communicate complex analysis in clear business language and influence stakeholders using evidence, commercial judgment, and practical trade-offs.
• Document analytical logic, assumptions, and repeatable processes; support knowledge sharing and capability building within BIC.

Qualifications & Experience

• Bachelor's degree or higher in Engineering, Economics, Statistics, Business, Finance, Supply Chain, Computer Science, or a related quantitative field.
• 2-5 years of experience in pricing, revenue management, commercial analytics, data analytics, business intelligence, or a related role.
• Strong SQL skills; experience with Power BI or another BI tool. Python and Databricks SQL are preferred.
• Ability to analyze large datasets, validate data quality, build repeatable analytical models, and present findings to business stakeholders.
• Working knowledge of pricing, price elasticity, promotion effectiveness, margin, or retail commercial concepts; retail/FMCG experience is preferred.
• Knowledge of basic statistical methods, including hypothesis testing, correlation, and regression; experience with forecasting or experimentation is an advantage.
• Strong business-partnering, problem-solving, presentation, communication, and influencing skills.
• Able to work independently, manage multiple priorities, and deliver under time pressure with high attention to detail.