SUMMARY:

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.

KEY DUTIES AND RESPONSIBILITES:

-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

KNOWLEDGE AND SKILLS:
Required:
-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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