Senior Fuel Pricing Analyst

7-Eleven•Irving, TX

13d

About The Position

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.

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 Haves

Master’s degree in a quantitative discipline preferred.
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

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