Senior Analytics Engineer

Responsibilities

• Lead and 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
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and partner with our stakeholders and their teams 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

Requirements

• 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, Terraform, command line-based workflows)
• Exceptional SQL skills coupled with at least 3-4 years of relevant experience in data analytics or engineering roles
• Demonstrate a solid proficiency in Python, with the ability to write clean, maintainable scripts to automate data workflows, perform exploratory data analysis and integrate various data sources within our modern tech stack.
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!
• This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.
• About Scopely

Additional Information

Scopely is seeking a highly motivated Analytics Engineer to join our Strategy & Business Operations team in Barcelona on a 2 day a week 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. The Strategy and Business Operations team works closely with the Senior Leadership of Scopely to answer critical business-related questions. By acting as a strategic partner, the team translates complex data into actionable insights that drive the company's decision-making process and long-term growth.

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