Store Ops Analytics & Insights Analyst

Dollar Tree, Inc.; Chesapeake (VA); On-site; USD 78,000 - 89,000; Full time

Benefits offered by this job

Employee Assistance Program

Retirement plans with matching

Employee Stock Purchase Program

Educational Assistance

PerkSpot access

Job summary

Dollar Tree, Inc. is seeking a data analytics professional to oversee store operations metrics and KPI reporting, excluding payroll.

The role focuses on delivering weekly, monthly, and quarterly analyses to support leadership with strategic initiatives and cost-saving opportunities. You will liaison between Field Operations and SSC, develop programs and reports to improve business performance, and drive enterprise data transformations with advanced Excel, PowerBI, SQL, and data visualization.

Qualifications

• Bachelor's Degree in Business Administration, Data Analytics or related work experience required.
• 1–3+ years in Retail Operations or Project Management; experience in Financial Operations is a plus.
• Advanced Excel, PowerBI, PowerPoint and SQL proficiency required.

Responsibilities

• Compile, analyze and report on weekly, monthly and quarterly metrics to drive performance and profitability.
• Create and maintain analytics-driven performance management models across functions.
• Identify root causes and provide actionable recommendations to improve store operations.

Skills

Advanced Excel

PowerBI

PowerPoint

SQL

Analytical skills

Communication skills

Organizational skills

Education

Bachelor's Degree in Business Administration or Data Analytics

Master's in Business Administration (nice to have)

Job description

Dollar Tree, Inc. is seeking a data analytics professional to oversee store operations metrics and KPI reporting, excluding payroll.

The role focuses on delivering weekly, monthly, and quarterly analyses to support leadership with strategic initiatives and cost-saving opportunities. You will liaison between Field Operations and SSC, develop programs and reports to improve business performance, and drive enterprise data transformations with advanced Excel, PowerBI, SQL, and data visualization.