Join Scopely as a Senior Product Analyst to leverage data and shape the future of Stumble Guys, one of the world's leading mobile games. You'll drive product decisions through experimentation, deep-dive analyses, and by uncovering actionable player insights.
Are you passionate about using data to shape products played by millions of people around the world? Do you enjoy uncovering player insights, designing experiments, and influencing product decisions with data? If so, we'd love to meet you!
We're looking for a Senior Product Analyst to help shape the future of Stumble Guys, one of the world's leading mobile games. You'll join a team of Product Analysts and Analytics Engineers, partnering closely with Product Managers, Game Designers, Data Engineers, and Developers to turn player behavior into actionable insights.
From event instrumentation and data modeling to A/B testing and deep-dive analyses, you'll help answer our most challenging product questions and directly influence the future of the game.
If you're excited about working on a game played by millions of daily active users (just ask your younger cousins - they're probably already playing!), we'd love to hear from you!
We also work with a modern analytics stack including Google Cloud Platform, BigQuery, Looker and Hex.
Please ensure that the résumé/CV you attach is written in English.
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
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Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
- Significant experience as a Product Analyst, ideally in gaming, mobile apps, or consumer digital products. - Strong SQL skills and experience with large-scale datasets. - Expertise in experimentation (A/B testing), product analytics, and statistical analysis. - Intellectual curiosity and passion for solving complex business problems with data. - Excellent communication and storytelling skills to translate analyses into clear recommendations. - Fluent English, written and spoken. - Python or R experience is a plus.
