Analytics Engineer

• Manage and optimize data processes using SQL, Git, dbt, and command line tools to ensure efficient, reliable and repeatable workflows
• Collaborate with stakeholders to elicit and clarify business rules and translate them into technical requirements
• Implement business rules in SQL via dbt to build the data warehouse
• Define, code, and refine analytical workflows, leveraging Python and SQL to support new analyses and enhance existing solutions
• Proactively monitor, validate, and safeguard data quality and integrity within the data warehouse, as well as across upstream and downstream systems
• Apply strong version control and workflow management practices with Git and command-line interfaces, ensuring transparency, collaboration and reproducibility
• Partner with cross-functional teams to surface meaningful data insights, driving informed decision-making and measurable organizational impact.
• Maintain, troubleshoot, and continuously improve inbound and outbound data pipelines, ensuring the seamless flow of information across platforms and applications.
• Act as a company champion for being data-driven by communicating insights in accessible terms, fostering adoption of analytics tools, and encouraging evidence-based change

Senior Manager, Data Operations Analytics Engineer

Product Owner II – Analytics Engineer

Manager, Data and Analytics Engineer, AI and Data Analytics