Senior Fuel Pricing Analyst

Overview

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.

• 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

Education:

• BS in Mathematics, Economics, Finance, Statistics or another quantitative discipline required.
• Master’s degree in a quantitative discipline preferred.

• 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

• 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