Senior Analytics Engineer

Were looking for a product-minded Analytics Engineer who treats data as a first-class product and thrives at the intersection of engineering analytics and game development. You are someone who can independently design build and evolve data products end-to-end balancing technical excellence with real-world usability and business impact.

What Youll Do

• Collaborate with engineers product teams and analysts to develop self-serve insight products that are responsive precise and scalable at petabyte levels
• Oversee the entire data product lifecycle including designing new tracking plans developing data models ELT pipelines and self-serve insight products like Looker explores and dashboards
• Build and maintain data products around technical KPIs that inform mobile game performance at scaleincluding crash rates ANRs latency network errors app size and startup timeas well as internal engineering health metrics like build times CI performance and infrastructure costs
• Integrate model and maintain data from third-party tools such as Datadog Bugsnag crash reporting platforms and other observability vendors ensuring these external sources are reliable well-documented and seamlessly woven into the broader data ecosystem
• Act as a guardian of data quality ensuring consistent metric reporting across a wide range of data products
• Establish and maintain robust data observability practicesincluding automated data validation anomaly detection SLAs and alertingto ensure trust and reliability across the pipeline
• Leverage AI and LLM-powered workflows across all stages of analytics engineeringfrom requirements gathering and SQL generation to data analysis verification and documentationcontinuously improving team productivity and output quality
• Utilize cutting-edge technology stack including BigQuery dbt and Looker
• Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team
• Design data products with the end user in mind prioritizing usability discoverability and long-term adoption across product and business teams
• Proactively identify gaps risks and opportunities in existing data products and instrumentation and drive improvements with a product-ownership mindset

What Were Looking For

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery Snowflake dbt Looker Airflow GitHub command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Solid understanding of data modelling principles (e.g. Kimball methodology star schemas)
• Understanding of technical KPIs and performance metrics for mobile games at scale (e.g. crash-free rates latency percentiles app vitals) as well as familiarity with internal engineering metrics like build times deployment frequency and cost tracking
• Hands-on experience integrating and modelling data from third-party platforms (e.g. Datadog Bugsnag Firebase Crashlytics or similar crash reporting and observability tools) including managing ingestion pipelines schema evolution and vendor-specific data quirks
• Hands-on experience with data observability frameworks and data validation methods (e.g. dbt tests schema testing anomaly detection SLAs/SLIs lineage tools)
• A strong product mindset with experience designing data products as user-facing solutions rather than one-off analyses
• Demonstrated ability to work effectively with cross-functional stakeholders balancing technical constraints business needs and delivery timelines
• A high level of ownership and autonomy with comfort operating in ambiguous problem spaces and proactively driving clarity and alignment
• Active use of AI and LLM-powered tools across the analytics engineering workflowincluding requirements gathering SQL authoring data analysis and verificationwith a pragmatic results-oriented approach to adopting emerging technologies
• Enjoyment in working within fast-paced growth-oriented environments

About Scopely

Scopely is a leading video game and global interactive entertainment company home to many of the worlds 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 Scopelys 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 Niantic 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 Companys Worlds 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: to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @.

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Employment at Scopely is based solely on a persons 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.