Qualifications
Strong enthusiasm for solving analytical challenges.Proven track record in translating business needs into analytical solutions.Deep expertise with modern data technologies (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub).Exceptional SQL skills with 5+ years of relevant experience.Understanding of data modeling principles.A focus on business context and technical excellence.A collaborative and team-oriented attitude.
About the job
Scopely is on the lookout for a driven and passionate Senior Analytics Engineer to become a vital member of our Playgami team, based in Barcelona with a hybrid work arrangement!
At Scopely, we believe in the power of play and strive to foster an inspiring environment—whether collaborating with our talented colleagues or engaging with our vibrant communities of players. Our global team of gaming enthusiasts is dedicated to developing, publishing, and innovating within the mobile games industry, making connections with millions of players across the globe every day.
The Playgami team is committed to creating the ultimate SaaS gaming platform! We aim to deliver exceptional products for game production, operation, and analytics, powering numerous award-winning franchises enjoyed by millions across mobile, web, and PC platforms.
What You’ll Do
- Lead collaborative efforts with engineers, product teams, and analysts to craft self-service insight products that are responsive, accurate, and scalable to petabyte levels.
- Manage the entire data product lifecycle, including designing innovative tracking plans, developing robust data models, ELT pipelines, and self-service analytics solutions such as Looker explores and dashboards.
- Ensure the integrity of data quality by maintaining consistent metric reporting across diverse data products.
- Leverage state-of-the-art technologies, including BigQuery, dbt, and Looker.
- Provide technical guidance and support to game product teams and departments, enhancing their operational efficiency and product success.
- Bring specialized knowledge of a specific segment of the data stack while also contributing across various aspects.
- Mentor fellow team members and promote the adoption of best practices within the team.
What We’re Looking For
- A strong enthusiasm for tackling complex analytical challenges.
- Demonstrated ability to translate business requirements into advanced analytical solutions.
- In-depth knowledge of the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows).
- Exceptional SQL expertise with a minimum of 5 years in data analytics or engineering roles.
- Solid grasp of data modeling principles (e.g., Kimball methodology, star schemas).
- A high regard for business context coupled with a commitment to achieving technical excellence.
- A collaborative mindset and pride in contributing to a team-oriented environment.