Data Analyst - Hit It Austin, TX; Carlsbad, CA; Chicago, IL; Eugene, OR; San Mateo, CA

Austin, TX;
Carlsbad, CA;
Chicago, IL;
Eugene, OR;
San Mateo, CA;
Toronto, Canada

Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take‑Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition.

Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

Join us and be part of the play!

Position Overview:

Join the Hit It Rich Slots Analytics Team

Hit It Rich! Slots is a beloved and iconic social casino game that brings the magic and adventure of the classic film to millions of players globally. As a Data Analyst on our team, you'll contribute to a visually stunning and highly engaging game that offers diverse slot experiences, captivating narratives, and a fun, communal experience for fans of the franchise.

If you are passionate about combining sophisticated analysis with interactive entertainment, Hit It Rich! Slots offers an unparalleled opportunity to influence a popular title in mobile gaming!

Hit It Rich! Slots is seeking a data analyst to help drive decisions that impact millions of players worldwide. At Hit It Rich! Slots, analytics is central to our success. We drive business decisions and optimize the player journey by using vast amounts of data and A/B testing. Whether you're designing the analysis plan for a live‑ops event, building better ways to monitor our in‑game economy, or diving deep into player segmentation to improve retention and engagement, your work will directly shape the user experience.

Join us if you flourish with using data to solve complex, high‑impact problems in a fast‑paced environment.

Here’s how you’ll shape the player experience:

• Product Strategy:
  Analyze long and short‑term trends to deliver insights that influence product direction
• Experimentation:
  Design statistically sound experiments that drive measurable impact
• Business Intelligence:
  Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance
• Game Integrity:
  Enhance fraud detection and bad actor models to maintain a healthy gaming ecosystem

Join us if you love solving analytical puzzles that impact millions!

• Collaborate with the Product team to enhance revenue, retention, and engagement metrics. This includes conducting A/B testing, performing insights analysis, and developing dashboards.
• Design and maintain ETL pipelines to extract, transform, and load data from multiple sources, ensuring source of truth for analyses and business intelligence.
• Design game telemetry to collect important player interaction data to improve the game experience.
• Analyze player behavior to understand motivations and preferences, partnering with game design and consumer insights teams to translate findings into actionable experience improvements.
• Actively play and engage with our games to maintain first‑hand understanding of player experience, game mechanics, and potential problems.
• Monitor, and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and data scientists on the team.
• Participate in and contribute to the Analytics Org’s AI initiative, which aims to significantly increase each analyst’s impact through the power of LLMs.
• Continuously learn about analytics best practices, and actively share and promote these practices across various games and teams.

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Master’s or PhD) are a plus.
• Minimum of 2 years in data science or analytics roles.
• Proficiency in Python and SQL.
• Demonstrated experience in more than one of the following: data mining, data visualization, experimental…