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.

Data Scientist, CP Axtra

Manager - Pricing & Commercial Analytics