Finance Analytics Engineer

<h3><strong>About the Role</strong></h3> <p>This is the first dedicated data hire on Together AI's Finance team. You will own the data layer that Finance runs on — building from scratch the models, pipelines, and reporting infrastructure that allow Strategic Finance, FP&amp;A, and Accounting teams to get reliable answers quickly. The person in this role will have direct exposure to every part of the Finance organization and a real opportunity to shape how data-driven decision-making develops here as the company scales.</p> <p>A significant portion of your work will touch the data behind the economics of Together's infrastructure, which sits behind nearly every financial question we ask. You will work closely with Together's Data and Commerce engineering team, which owns the underlying billing pipelines and data warehouse. Your job is to define and build the modeling and reporting layer that turns raw operational data into finance-grade datasets — aligning on data contracts, representing Finance's requirements in data design decisions, and ensuring the metrics Finance depends on are correct, documented, and trusted.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Own and evolve the dbt transformation layer for Finance: design, build, test, document, and maintain models covering billing, financial performance, compute unit economics, and operational metrics</li> <li>Author and maintain Airflow DAGs (Astronomer-managed) that orchestrate Finance dbt runs, data quality checks, and downstream dependencies reliably</li> <li>Deliver dashboards and reporting in Hex for the executive team covering financial performance, utilization, and key operating metrics</li> <li>Partner with Strategic Finance, FP&amp;A, and Accounting teams on the data infrastructure behind forecasting, cost modeling, and other financial analyses</li> <li>Set data quality standards across Finance data products and own incident response when Finance-critical pipelines break</li> <li>Build the data