Senior Data Analyst (EU Timezones Only)

University Degree in Engineering, Computer Science or Applied Mathematics. A minimum of 4 years of experience in Data or Analytics Engineering. Excellent hands-on skills in Data Modelling. Excellent SQL skills (even better if this is coupled with dbt experience or a similar SQL-based data modelling tool). Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…). Previous experience working with modern data stack tools and cloud-based data warehouse (BQ, Snowflake, Redshift, etc.). Sound business acumen to manage your own projects and your business stakeholders. Self-Starter with the ability to work autonomously and own one's projects fully. Excellent written and verbal communication skills (English). Comfortable in a remote work environment (we are a remote-first organization).

You will work on Data Modelling and Analytics Engineering project to improve, enrich and maintain our data models and Analytics pipelines. Those projects will be in close collaboration with the head of Data & Analytics as the main stakeholder. You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. Solid methodical testing is key here to strengthen Data Observability. You are expected to gradually own some aspects of the team's responsibilities, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth, help data analysts and scientists improve and strengthen their engineering skills. You are expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission. You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills. You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers.