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Pricing Ops Research, Data Analyst
bpPricing Operations Research & Data Analyst working with advanced analytics to improve pricing strategy at bp. Develops models for price realization and revenue management for Castrol's Global Pricing Team.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data sciencepricing analyticscommercial analyticsstatistical modellingeconometricsoptimization techniquesdemand modellingprice elasticitydata manipulationdata analysis
Soft Skills
problem-solvingquantitative mindsetanalytical translationdecision-makingstorytelling
Tools & Technologies
PythonRSQLNovaanalytics platformsdashboards
Industry Keywords
pricingrevenue managementcommercial strategyprice optimizationportfolio optimizationgross-to-net analyticsprice positioningsegmentation strategiespricing workflowspricing tools
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Delivering pricing capability through advanced analytics, modelling & automation
- Develop scalable models and insights that directly improve price realization, optimize gross-to-net performance
- Turn data into actionable pricing recommendations
- Support smarter, faster & more consistent decision-making across the business
Requirements
What you’ll need- Experience in data science, operations research, pricing analytics, or commercial analytics
- Strong problem-solving capability with a quantitative mindset
- Demonstrated ability to translate analytical outputs into business impact
- Exposure to pricing, revenue management, or commercial strategy is highly advantageous
- Statistical modelling / econometrics
- Optimization techniques (e.g., linear programming, scenario optimization)
- Demand modelling and price elasticity
- Data manipulation and analysis (Python, R, SQL for example)
- Build and maintain models to address core pricing challenges: Price elasticity and demand forecasting
- Willingness to pay and price sensitivity
- Scenario modelling and price optimization
- Apply operations research techniques to solve pricing and portfolio optimization problems
- Continuously refine models to improve accuracy, scalability, and commercial relevance
- Drive gross-to-net analytics & price realization
- Deliver insights to improve product mix, price positioning, and portfolio structure
- Analyze performance across: Channels (DIY, DIFM, B2B) Customer segments and key accounts Pack sizes, specifications, and price tiers
- Support development of price ladders and segmentation strategies
- Build reusable analytical tools, models, and dashboards
- Support automation of pricing workflows and reporting processes
- Improve speed and consistency of pricing decision-making through scalable solutions
- Contribute to the evolution of pricing tools (e.g., Nova, dashboards, analytics platforms)
- Turn complex analytical outputs into clear, actionable recommendations
- Support cases with quantified revenue and margin impact
- Work closely with Pricing, Sales, Finance, and Marketing teams to embed insights into decisions
- Contribute to insight-led storytelling for senior partners.
Benefits
Comp & perks- flexible working options
- a generous paid parental leave policy
- excellent retirement benefits