Analyst, Gaming & Performance

Light & Wonder•Raleigh, NC

About The Position

The Gaming & Analytics Performance Analyst plays a central role in analyzing game performance across multiple dimensions — game type, category, state, venue, day, and device. The role calls for a strong analytical understanding of consumer behavior, particularly in casino- and slot-style environments. You will own a comprehensive quarterly analysis of gameplay, identifying trends and player behavior and recommending where to improve. We are an AI-forward team, and you will be encouraged to use AI as a force multiplier — to explore data faster, prototype tooling, and sharpen your analysis.

Requirements

Strong understanding of consumer behavior in gaming environments, with a feel for what drives play.
Proficiency with analytical and BI tools such as Tableau and Power BI; SQL and/or Python are a strong plus.
Excellent presentation and communication skills, with the ability to translate complex data into clear, actionable takeaways.
Genuine curiosity — a habit of asking questions, digging into the “why,” and testing assumptions rather than guessing.
Comfort with ambiguity and partial data; able to make defensible calls with what is available and refine as more arrives.
Self-starter with a proactive approach to problem-solving and a passion for data-driven decision-making.
Enthusiasm for working alongside AI to explore data, prototype, and build better tooling.

Nice To Haves

Experience in the casino or gaming industry.
Familiarity with statistical or forecasting methods (regression, time series, clustering).
Exposure to data engineering, table design, or data modeling.
Comfort working with messy, semi-structured, real-world operational data.

Responsibilities

Analyze game performance in depth across parameters such as game type, category, state, venue, day, device, and player demographics.
Publish quarterly reports detailing gameplay analysis, trends, and insights that guide product improvements and strategic decisions.
Partner with Account Management and Account Executive teams to assess site-level performance and identify the factors contributing to success.
Visualize and present findings using tools such as Tableau and Power BI, communicating complex insights clearly to leadership and field teams.
Identify player-behavior trends to inform product development and marketing strategies.
Proactively recommend improvements grounded in data-driven insight to enhance player engagement and revenue.
Juggle multiple projects at once, moving between shifting priorities and parallel workstreams without dropping the ball.