About the job
Scopely is seeking a highly skilled Analytics Engineer with a product-oriented mindset who considers data a vital asset, excelling at the crossroads of engineering, analytics, and gaming development.
The ideal candidate is capable of independently designing, building, and enhancing data products from inception to completion, effectively balancing technical proficiency with practical usability and significant business impact.
Key Responsibilities:
- Partner with engineers, product teams, and analysts to create self-service insight products that are responsive, accurate, and scalable at petabyte scale.
- Manage the full lifecycle of data products, which includes designing tracking plans, developing data models, ELT pipelines, and self-serve insight tools like Looker dashboards and explores.
- Ensure data quality by maintaining consistent metric reporting across various data products.
- Establish and uphold robust data observability practices such as automated validation, anomaly detection, SLAs, and alerts to build trust and reliability throughout the pipeline.
- Utilize a cutting-edge technology stack, including BigQuery, dbt, and Looker.
- Provide technical leadership while collaborating with game product teams to improve daily operations and product success.
- Leverage expertise in specific areas of the data stack while contributing to all facets of data management.
- Mentor team members and promote best practices within the team.
- Design data products with the user experience in mind, focusing on usability, discoverability, and long-term adoption by product and business teams.
- Identify and address gaps, risks, and opportunities in existing data products and instrumentation, driving improvements with a product-ownership mentality.

