Data-Driven Merch Insights Analyst

my7elevenhr; Irving (TX); On-site; USD 85,000 - 105,000; Full time

Job summary

7-Eleven is seeking a Merchandise Insights Analyst to deliver data-driven insights that inform merchandising decisions across our retail operations. You will monitor performance, maintain reports and dashboards, and identify trends to support category strategies.

Collaborate with Category Teams and cross-functional partners to develop analytical solutions and supporting materials. Proficiency in Excel and BI tools, with the ability to translate data into actionable recommendations, is essential.

Qualifications

• Bachelor's degree in a quantitative field preferred.
• 1-3 years of relevant work experience.
• Proficiency with Excel and BI tools.
• Knowledge of retail metrics and merchandising principles.
• Strong analytical and communication skills.
• Ability to present data clearly to diverse audiences.

Responsibilities

• Analyze merchandise performance data to support category strategies and performance improvements.
• Monitor key metrics, identify trends, anomalies and opportunities across categories.
• Develop and maintain reports, dashboards, scorecards and analytical tools for merchandising teams.
• Perform ad hoc analyses to support category reviews, promotions, assortment decisions, and strategic initiatives.
• Collaborate with cross-functional teams to drive reporting capabilities and data quality.
• Prepare business review materials including MBRS and leadership updates.

Skills

Excel

Power BI

Tableau

Data analysis

Merchandising knowledge

Education

Bachelor's degree in a related field

Tools

Power BI

Tableau

Job description

7-Eleven is seeking a Merchandise Insights Analyst to deliver data-driven insights that inform merchandising decisions across our retail operations. You will monitor performance, maintain reports and dashboards, and identify trends to support category strategies.

Collaborate with Category Teams and cross-functional partners to develop analytical solutions and supporting materials. Proficiency in Excel and BI tools, with the ability to translate data into actionable recommendations, is essential.