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indeed

Pricing Ops Research & Data Analyst

bp
Maharashtra, IND
Full-time
Hybrid
Discovered 3 weeks ago
Data scienceOperations researchPricing analyticsStatistical modellingEconometricsOptimization techniques

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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