Senior Fuel Pricing Analyst

7-Eleven

Irving (TX)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

7-Eleven in Irving, Texas is seeking an individual to analyze performance across diverse factors to inform pricing strategy and analytics. This role requires a blend of data expertise and business insight to drive decisions and evaluate initiatives.

The ideal candidate will possess a BS in a quantitative discipline, with 3+ years in analytics or strategy. Proven skills in data visualization, SQL, and Python are essential. The company offers opportunities for professional growth and development.

Qualifications

  • 3+ years of relevant professional experience in analytics, strategy, or pricing.
  • Experience supporting business decisions through financial modeling and data-driven analysis.

Responsibilities

  • Analyze performance across geographies, demographics, and store attributes.
  • Build and own analytical frameworks for ROI assessment.
  • Design and evaluate A/B tests for business outcomes.
  • Prepare datasets and analysis for leadership.
  • Deliver insights for pricing decisions.
  • Assess newly available or underutilized data.

Skills

Strong analytical and problem-solving skills
Proficiency in data visualization (Tableau/Tableau Prep)
SQL
Python
Strong communication skills

Education

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

Tools

Tableau
SQL
Python

Job description

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.

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
Qualifications

Education:

  • BS in Mathematics, Economics, Finance, Statistics or another quantitative discipline required.
  • Master’s degree in a quantitative discipline preferred.
Experience
  • 3+ years of relevant professional experience in analytics, strategy, or pricing
  • Experience supporting business decisions through financial modeling and data-driven analysis
Required Knowledge and Skills
  • 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
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
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