Analytics Engineer

About the role

Scopely is seeking an Analytics Engineer to join our Marketing Analytics team in Barcelona, Spain, on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.

Scopely is building the best SaaS gaming platform ever! The Marketing data team strives to create the world’s best products for UA, Ads, ASO, and Player Experience verticals. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.

What You’ll Do

- collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale

- work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards

- own data quality and ensure metrics are defined and reported consistently across all data products

- use cutting-edge data technologies, including BigQuery, dbt, and Looker, to develop scalable analytics solutions

- apply historical and predictive analytics tools, including BQML, to identify trends and forecast player behavior

- partner with game product teams and cross-functional stakeholders to understand their needs, improve workflows, and inform product decisions

- contribute across the data stack and full data-product lifecycle while developing expertise in specific areas

What We’re Looking For

- experience with modern data stack tools such as BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows, or a willingness to learn them

- strong SQL skills and at least three years of experience in analytics engineering, data analytics, or a related field; equivalent practical experience is welcome

- ability to translate business needs into effective analytics solutions

- understanding of data modeling concepts, including star schemas and structured datasets

- ability to balance business context, continuous improvement, and technical quality when designing solutions

- collaborative approach and ability to build positive working relationships across teams

- clear communication skills, including confidence in asking questions and sharing ideas

- ability to adapt to changing priorities while maintaining focus on quality and outcomes

- interest in learning and developing skills across the data workflow and technology stack

- Interest or hands-on experience with AI-assisted tools, such as LLMs, agents, or workflow automation, to improve analytics workflows and team productivity is a plus, not a requirement