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Burr Ridge, Illinois, United States
Onsite
About Us
Accel Entertainment, Inc. (NYSE: ACEL) is a growing provider of locals-focused gaming and one of the largest terminal operators in the United States, supporting more than 27,000 electronic gaming terminals in over 4,300 third-party local and regional establishments across ten states. Through exclusive long-term contracts, Accel serves licensed non-casino locations including bars, restaurants, convenience stores, truck stops, gaming cafes, and fraternal and veteran establishments. Accel also owns and operates brick and mortar casinos and a racino venue.
Accel provides its local partners with a turnkey, full-service, capital-efficient gaming solution that encompasses manufacturing, content, payments, loyalty, 24/7 customer service, data analysis and reporting, and cash logistics. The Company’s racino, Fairmount Park Casino & Racing, opened in April 2025 and features over 270 electronic gaming machines, food and beverage amenities, a sports book, para-mutuel betting and 55 days of thoroughbred horse racing a year. For more information, please visit www.accelentertainment.com.
Job Description:
Position Basics:
Position Summary
We are seeking a Sr. Data Analyst for a highly visible position within the Data Analytics team at Accel Entertainment. This role serves as a key analytics resource responsible for evaluating gaming machine performance, gaming software behavior, route and market activity, operational trends, and enterprise KPIs. The successful candidate will design efficient reporting, testing, and analytical solutions that help measure, explain, improve, and predict performance across the business. This position will partner closely with Operations, Product, IT, and corporate data management teams to ensure decision makers have accurate, timely, and actionable insights.
Analyze gaming machine performance, software outcomes, operational trends, route performance, and market-level activity to identify opportunities for revenue growth, efficiency, and improved decision making.
Use T-SQL /SQL Server Management Studio (SSMS) to query, validate, transform, and analyze data from multiple operational and enterprise sources.
Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or comparable visualization tools.
Leverage AI tools responsibly to accelerate exploratory analysis, generate deeper hypotheses, summarize complex patterns, and improve the quality and speed of analytical deliverables.
Interpret data and analyze results using statistical and analytical techniques to support recurring reporting, ad hoc analyses, business reviews, and strategic initiatives.
Develop, maintain, and optimize T-SQL queries, stored procedures, data extracts, and analytical datasets using SSMS and related SQL Server tools.
Analyze gaming machine data, software events, location performance, route trends, game performance, player behavior indicators, and operational metrics to identify patterns, risks, and opportunities.
Create clear, accurate, and scalable dashboards and reports using Power BI, Tableau, or similar tools to communicate trends, KPIs, and recommendations to technical and non-technical audiences.
Partner with IT and data management teams to coordinate the collection, validation, and documentation of operational data from multiple source systems.
Support test design, measurement, and post-implementation analysis for gaming software changes, machine configurations, market activities, product initiatives, and process improvements.
Identify, maintain, and measure operational KPIs, including the tracking of strategic pillars, initiatives, and performance improvement opportunities.
Use AI-enabled tools and workflows to support deep analysis, anomaly detection, pattern discovery, data summarization, code assistance, and scenario exploration while maintaining appropriate data governance and validation standards.
Document analytical methods, business logic, data definitions, assumptions, and internal controls to promote consistency, auditability, and repeatability.
Translate complex analytical findings into concise insights, business implications, and recommended actions for management and cross-functional stakeholders.
Perform other duties as assigned, including special projects and time-sensitive analytical requests.
Bachelor's degree in Mathematics, Statistics, Computer Science, Information Management, Analytics, Business Analytics, Economics, or a related quantitative field; equivalent experience may be considered.
3+ years of experience as a Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, or similar analytics role.
Strong hands-on experience writing T-SQL queries in SQL Server Management Studio (SSMS), including joins, aggregations, subqueries, common table expressions, window functions, and data validation techniques.
Experience building dashboards, reports, and visual analyses in Power BI, Tableau, or comparable visualization platforms.
Strong analytical skills with the ability to collect, organize, validate, analyze, and communicate large and complex datasets with attention to detail and accuracy.
Ability to analyze operational, machine, software, transaction, or event-level data and translate findings into practical business recommendations.
Experience using AI tools to assist with analysis, research, query development, hypothesis generation, documentation, or synthesis of analytical findings.
Adept at query development, report writing, data storytelling, and presenting findings to management.
Strong verbal and written communication skills, including the ability to present complex information in a clear, digestible manner.
Excellent attention to detail, strong organizational skills, and a proven track record of meeting deadlines while producing high-quality work.
Ability to work cooperatively and collaboratively with all levels of employees, management, and external partners to maximize performance, creativity, problem solving, and results.
Ability to operate independently with minimal direction while managing multiple priorities and projects simultaneously.
Experience in gaming, amusement, route operations, retail, hospitality, distributed operations, regulated environments, or other high-volume operational data settings.
Familiarity with A/B testing, pre/post analysis, cohort analysis, anomaly detection, or statistical measurement of operational initiatives.
Experience documenting KPI definitions, data lineage, dashboard requirements, and report governance standards.
Exposure to Python, R, Databricks, Azure, or other modern analytics tools is a plus.
Base Pay Range:
Base Salary: $100,000-110,000 + 10% annual bonus
This range represents the low and high end of the anticipated base salary range for this position. The base salary will depend on a number of factors such as: qualifications, experience level, and skillset.
Voluntary full-time employment benefits include medical, dental, and vision; life, AD&D, critical illness, and hospital insurance; short and long-term disability; identity/legal protection; as well as access to FSA and HSA accounts. Full and part-time employees are eligible to contribute to traditional and/or Roth 401(k) plans. Our Employee Assistance Program (EAP) offers counseling for a multitude of topics including (but not limited to) mental health, finances, adult care, disability, and grief.
Accel Entertainment is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.