Data Strategies Analyst
Listed on Boyd Gaming’s official careers site. Posted October 15, 2026. Check that it is still open and apply there.
Apply on Boyd Gaming’s careers site →Job description
POSITION IS ON SITE IN LAS VEGAS, NV As a Data Analyst, you will deliver reports and analyses that look at historical and current views of the business to support key partners in decision making. You will be responsible for the analysis of your assigned region and properties marketing initiatives. Success will be measured by your ability to provide insights that solve business challenges as well as your ability to provide highly consumable data to the organization.
Support direct marketing, special events, and promotional activities through robust performance analysis, test design and analysis, and ad-hoc analysis. Analyze large data sources to understand key drivers of the business. Execute assigned projects from inception to completion. This includes clearly understanding the problem or question, executing the analysis, developing insights, and presenting findings to the business.
Design, create, and maintain dashboards and reports that track key metrics across the business for the purpose of monitoring the health of the business. Provide clear, insightful, and meaningful analysis that supports decision making. Create and maintain documentation of processes. Develop and maintain a positive working relationship with the properties and other corporate departments. Apply predictive modeling, segmentation, forecasting, and multivariate analysis techniques to solve business challenges and maximize business performance.
Assist properties with their marketing campaigns when needed. Write SQL, Python, R, SSIS, etc. to extract, manipulate, and move data within the Boyd Gaming technology stack. Other duties as assigned.
Qualifications
Bachelor’s degree in a quantitative field such as business analytics, statistics, mathematics, economics, computer science, or closely related field required. Working knowledge of tools such as SQL, Python, R, SAS, or SPSS required. Working knowledge of BI tools such as MicroStrategy, Tableau, or Power BI required. Proficient with Microsoft Office. Inquisitive analytic thinking. Organized and detail oriented with strong attention to accuracy.
Ability to obtain/maintain any necessary licenses and/or certifications.
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