Sr. Data Analyst

Name of Employer: GameStop, Inc.

Position Title: Sr. Data Analyst

Job Location: 625 Westport Parkway, Grapevine, TX 76051

Salary: $146,515.00/year

Hours: Monday - Friday, 9:00 am to 5:00 pm

Summary of Duties:

• Forecasting labor, parts/supplies, overhead, and volume month-to-month and yearly.
• Reporting forecasted spend, volume, and rates to Director of Finance and Financial Analyst.
• Comparing forecast to actuals and historical data, as well as obtaining input from managers to adjust forecasts as necessary.
• Forecasting inbound, outbound, and inventory volumes weekly.
• Compiling monthly spend for the ROC and allocating said spend to send to Director of Finance and Financial Analyst.
• Communicating these numbers to managers, and answering any questions or concerns as needed.
• Comparing actuals to forecasts to find what contributed to any major differences.
• Updating SFC database per supervisor request (for new users) and per the request of the SFC team (routing, symptoms, parts, etc.).
• Working with the SFC team to ensure integrity of the data being obtained and updated.
• Moving database information from QA to Prod after testing to deploy on the floor.
• Updating WBR and Exec WBR slides weekly. Make adjustments as necessary: parts/supplies reported to wrong CC that need to have their $ moved, taking out HOL $ due to non-production, visuals on the slides.
• Creating, analyzing and maintaining Power BI reports with the use of SQL (GBQ, PostgreSQL, Azure) and Python - Labor, Headcount, SFC Failure Analysis, QA metrics, Inventory Control/Shrink metrics for reports.
• Using the knowledge obtained from creating these reports to be able to explain concepts and outliers to managers and supervisors.
• Maintain knowledge of data sources pertinent to the ROC. Use said knowledge to pull data quickly and efficiently when requested.
• Communicate with colleagues inside and outside of the ROC to answer questions posed by managers: Working with ERP Commerce and Operations Director to better understand the link between SAP and WM and the contributors to Shrink and OOS; and working with Principal Data Engineer when inventory transactions were not being communicated from WM to GBQ.
• Ad hoc data reporting/analysis using Excel, PBI, SQL.
• Available on short notice to provide key metrics to business leaders in the pre-owned business.
• Coordinate with partners from the C suite level to the operations floor.
• Analyze manufacturing execution system (MES) data related to diagnostics, repairs, cleaning, and quality control to identify operational trends and process bottlenecks.
• Develop and maintain dashboards to monitor key performance indicators (KPIs) such as turnaround time, defect rates, yield, and units per labor hour (CPU).
• Provide data-driven insights to support inventory management and supply chain performance.
• Design and optimize SQL queries to improve data retrieval efficiency for reporting needs.
• Maintain Power BI dashboards for ROC (Return on Capital) reporting.
• Collaborate with engineering teams to identify inefficiencies and streamline operational processes.
• Conduct root cause analysis to resolve quality issues and support improvements in supplier and vendor performance.
• Apply statistical methods and predictive modeling techniques to forecast product demand, optimize inventory levels, and improve production scheduling.
• Analyze return data to support product design enhancements and quality initiatives.
• Ensure data accuracy, completeness, and consistency by implementing and enforcing data quality standards.
• Develop automated ETL pipelines into Google BigQuery (GBQ) to support scalable reporting and analytics. Integrate data from multiple sources to enable centralized analysis.
• Implement data governance best practices and ensure compliance with data security protocols, including access control, data classification, and audit readiness to protect sensitive business information.
• Partner with manufacturing, electrical, design, and finance teams to deliver actionable insights.
• Prepare and present analytical findings to business stakeholders.

Qualifications:

Bachelor's degree in Computer Science, Accounting, Finance, Statistics, Mathematics, Business Administration, or a related field of study AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Bachelor's degree in Computer Science, Accounting, Finance, Statistics, Mathematics, Business Administration, or a related field of study AND Five (5) years of experience, the employer will also accept a Master's degree in Computer Science, Accounting, Finance, Statistics, Mathematics, Business Administration, or a related field of study AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. Applicants must have demonstrated experience with: Proficient database and querying skills including SQL; Data platforms and applications such as BigQuery, Power BI and similar platforms; Creating data visualizations (using Power BI or similar tools) that convey key metrics in an easy-to-understand format for non-technical business decision-makers; and Python.

To Apply:

To apply, submit a resume to ;o=postedDateDesc, OR submit a resume to , OR mail resume to: GameStop, Inc., Attn: HR, 625 Westport Pkwy, Grapevine, TX 76051. Must reference Job Title & Job Code: 000422.

THIS NOTICE IS BEING POSTED IN CONNECTION WITH THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION. ALL APPLICANTS SHOULD REPORT DIRECTLY TO THE EMPLOYER. ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION TO THE REGIONAL CERTIFYING OFFICER OF THE DEPARTMENT OF LABOR:

U.S. Department of Labor

Employment and Training Administration

Office of Foreign Labor Certification

200 Constitution Avenue NW, Room N-5311

Washington, DC 20210

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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For further information, please review the Know Your Rights notice from the Department of Labor.