Data Insights Strategist

4 semanas atrás


Lisboa, Lisboa, Portugal Scopely Tempo inteiro
Job Overview
Scopely, a global leader in the mobile games industry, seeks an experienced Senior Analytics Engineer to join our Monopoly GO team. As a key player in this fast-paced environment, you will collaborate with engineers, product teams, and analysts to develop innovative data products that drive business success.

As a guardian of data quality, you will oversee the entire data product lifecycle, ensuring consistent metric reporting across various data products. Your technical expertise will be utilized to design new tracking plans, develop data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards. Your experience in BigQuery, dbt, and Looker will enable you to provide cutting-edge solutions to complex analytical challenges. Additionally, you will bring your expertise in specific data stack components and contribute broadly across all aspects, mentoring team members and driving the adoption of best practices.

About Scopely
At Scopely, we care deeply about what we do and aim to inspire play every day. We are a global team of game lovers who develop, publish, and innovate the mobile games industry, connecting millions of people worldwide daily. Our team is based in Europe and the US, working tirelessly to create captivating new experiences for our players. Monopoly GO is one of our largest games, with over 5 million daily active users. This role offers an exciting opportunity to make a significant impact on the game's success.

The Ideal Candidate
We seek a highly skilled individual with a strong passion for solving complex analytical puzzles. The ideal candidate has proven ability to translate business needs into advanced analytics solutions and possesses deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub). They should have exceptional SQL skills, coupled with at least 5 years of relevant experience in data analytics or engineering roles. A solid understanding of data modeling principles, including Kimball methodology and star schemas, is essential. Additionally, they should value business context, strive for technical excellence, and enjoy working in fast-paced, growth-oriented environments.

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