Pricing Ops Research & Data Analyst
Role Overview
The Pricing Operations Research & Data Analyst reports to the Pricing Data Science & Automation Manager within Castrol's Global Pricing Team.
The role uses analytics, modelling, and automation to improve price realization, gross-to-net performance, and profitable growth.
Key Skills for This Role
Full Job Posting
About the role
The Pricing Operations Research & Data Analyst reports to the Pricing Data Science & Automation Manager within Castrol's Global Pricing Team.
The role uses analytics, modelling, and automation to improve price realization, gross-to-net performance, and profitable growth.
What you will deliver
- Build models for price elasticity, demand forecasting, willingness to pay, price sensitivity, scenario modelling, and price optimization.
- Apply operations research to pricing and portfolio optimization; refine models for accuracy, scale, and commercial relevance.
- Drive gross-to-net analytics and price realization; improve product mix, price positioning, and portfolio structure.
- Analyze channels, customer segments, key accounts, pack sizes, specifications, and price tiers; support price ladders and segmentation.
- Build reusable tools, models, and dashboards and automate pricing workflows and reporting.
- Contribute to pricing tools and analytics platforms; quantify revenue and margin impact and turn analysis into actionable recommendations.
- Partner with Pricing, Sales, Finance, and Marketing to embed insights and share analytical stories with senior partners.
Experience and qualifications
- Experience in data science, analytics, or operations research; university degree, equivalent experience, or higher.
- Strong statistical or econometric modelling background and experience working with large datasets.
- Experience in pricing, revenue management, or commercial analytics; trade spend or gross-to-net exposure is advantageous.
- FMCG, automotive, energy, or B2B industry experience is listed as a qualification.
- Strong analytical and quantitative problem-solving skills.
- Proficiency in one or more analytical programming languages, such as Python or R, and data querying tools; strong SQL and data manipulation capability.
- Experience with Power BI or similar data visualization tools and familiarity with optimization and modelling approaches.
- Exposure to automation tools, workflows, or APIs is advantageous.
Benefits and culture
- The company describes an inclusive culture, work-life balance, learning and development opportunities, life and health insurance, and a medical care package.
Workplace and travel
- The position is a hybrid of office and remote working.
- Negligible travel is expected; the role is eligible for within-country relocation assistance.
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