Data Analyst

As a data analytics professional, you will span engineering and insights to improve automation and decision making for our partners and internal stakeholders. Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow to our various enterprise partners. Use Data Visualization tools (such as Tableau) to create intuitive data products, allowing our enterprise partners to better understand their business and trust their data. You should be a strong communicator, not afraid to contribute during meetings with stakeholders and engineering teammates, and asks clarifying questions to better understand business requirements and opportunities. Build subject matter expertise within the insurance domain, in order to better anticipate partners’ needs. Recommend and adopt data governance best practices to Improve data quality and controls. Construct data validation checks and automated unit tests to catch data quality issues early, ensuring reliable downstream analytics and partner deliverables. Collaborate with other data analysts and engineers, sharing work and cross-training others. Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation. Maintain a positive attitude and encourage the growth and development of team members. Make decisions as a team, propose your ideas and review others’ work - shared ownership.