FAQs
What is the main purpose of the Analyst - Store Analytics and Reporting role?
The main purpose of the Analyst - Store Analytics and Reporting role is to run Excel modeling and analysis, as well as generate reports to identify opportunities, issues, and evaluate the performance situations of stores, districts, and regions. This includes analyzing data related to sales, payroll, operational KPIs, and customer experience results to improve operational execution at the store level.
What skills and qualifications are required for this position?
Candidates need to hold a B.A./M.S. in quantitative disciplines such as Economics, Finance, Business, Engineering, or Mathematics. Additionally, at least 3 years of experience in highly analytical roles is required, along with skills in financial modeling, database creation, and familiarity with data management and reporting platforms.
What does the day-to-day work involve for this analyst position?
The day-to-day work involves executing the store analytics and reporting strategy, running and publishing reports on sales and operational performance, managing performance improvement programs, investigating data issues, creating training for store staff on data interpretation, and conducting in-depth analysis into individual store and market issues.
Will this role require travel?
Yes, the role requires 25% travel to support the field leaders and execute effective operational strategies.
Which departments or functions will the analyst collaborate with?
The analyst will collaborate closely with various supporting functions, including Supply Chain, HR, AP (Accounts Payable), and Finance, to execute the store analytics and reporting strategy effectively.
What type of mindset should the ideal candidate possess?
The ideal candidate should be quantitatively minded, detail-oriented, proficient in Excel and other analytics tools, and possess a strong passion for retail and the success of stores.
How does this role contribute to Burlington's business model?
This role is critical for improving the operational execution of Burlington’s off-price business model at the store level by providing analytical support, insights, and training to drive performance improvements.
Is experience with large data sets necessary for this role?
Yes, practice with database creation and data integration for large data sets is required to effectively analyze and report on store performance and operational outcomes.