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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand and metro hybrid role but specialized pricing/OR reduces applicant density.
Pricing and operations-research experience in FMCG/B2B strongly favors domain-experienced candidates.
Requires econometrics, optimization and coding skills so technical filters are moderately strict.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain advanced pricing models using operations research and analytics to optimize price realization and gross-to-net performance.
Provide actionable pricing recommendations to support faster, consistent commercial decision-making across products, customers, and channels.
Drive automation and scalability of pricing workflows, reporting, and tools to enhance pricing capability and profitability.
Minimum Requirements
Experience in data science, analytics, operations research, or commercial/pricing analytics.
University degree or equivalent experience; strong background in statistical/econometric modelling.
Proficiency in analytical programming languages (e.g., Python, R) and data querying tools (SQL).
Experience working with large datasets and pricing/revenue management analytics in FMCG, automotive, energy, or B2B sectors.
Ideal Candidate Profile
Strong quantitative problem-solving skills with experience translating analytics into business impact in pricing or commercial strategy contexts.
Experience applying optimization techniques and demand modelling to pricing challenges.
Comfortable working cross-functionally with Pricing, Sales, Finance, and Marketing teams in dynamic, data-driven environments.