Senior Fuel Pricing Analyst

This role sits at the intersection of pricing, strategy, and analytics, requiring a blend of business insight and data expertise to inform decision-making and evaluate complex business initiatives.

Responsibilities

Analyze performance across geographies, demographics, and store attributes to identify key drivers of volume, margin, and competitive positioning; Build and own analytical frameworks to assess ROI and financial impact of key business initiatives; Design and evaluate A/B tests, ensuring results are statistically sound and tied to clear business outcomes; Prepare accurate, well-structured datasets and supporting analysis for leadership; Ensure outputs are defensible, traceable, and clearly explainable for high visibility use; Deliver insights and recommendations that inform day-to-day and long-term pricing decisions, balancing financial outcomes with market dynamics; Support high-level business needs with clear analytical outputs or dashboards; Clarify requirements, prioritize effectively, and deliver with accuracy; Assess newly available or underutilized data to determine business value, define high-impact use cases, and translate findings into clear analytical directions or frameworks for broader team execution; Manage and refine core datasets used in analysis, ensuring accuracy, consistency, and usability; Proactively identify gaps in data and work toward scalable solutions where appropriate

Requirements

BS in Mathematics, Economics, Finance, Statistics or another quantitative discipline required; 3+ years of relevant professional experience in analytics, strategy, or pricing; Experience supporting business decisions through financial modeling and data-driven analysis; Strong analytical and problem-solving skills, with the ability to structure ambiguous problems into clear frameworks; Proficiency in data visualization (Tableau/Tableau Prep), SQL, and/or Python; Strong communication skills, with the ability to explain complex analyses to non-technical stakeholders; Experience applying statistics to forecast trends, perform cost–benefit analysis, and calculate ROI; Ability to operate independently with limited direction

Nice to have

Master’s degree in a quantitative discipline; Experience in retail, fuel, or multi-unit operations; Experience working with large, complex data sets in cloud environments (i.e. Databricks); Familiarity with clustering, time series analysis, proximity analysis, and sales forecasting