Senior Data Analyst - Gaming Analytics

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 29,000 electronic gaming terminals in nearly 4,700 third-party local and regional establishments and 20 self-operated gaming locations 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 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, features live racing, electronic gaming machines, live table games, food and beverage amenities, and pari-mutuel betting. Job Description : Position Basics: Based in our Burr Ridge Office Hybrid Schedule, 4 days in-office, 1 day remote Flexible work schedule This role interacts directly with Executive leadership Base Salary $100,000-$110,000 with 10% annual bonus 3 years Data Analysis experience as well as relevant Bachelors degree required, equivalent experience may be considered Proficiency in Visualization Tools required (PowerBI, SQL, & Tableu) Preferred Experience: Predictive Modeling, Player Loyalty or Gaming Content Analysis Competitive benefits - health insurance inc. vision and dental; 401(k) w/ match; PTO + paid holidays; and additional total rewards 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. Role Focus 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. Essential Duties and Responsibilities 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. Qualifications 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 synt