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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If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole discretion unless and until paid and may be modified at the Companys sole discretion, consistent with the law.

For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this .

For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this .