Senior Analytics Engineer, Marketing

We are looking for a Senior Analytics Engineer to join our Data Team with a dedicated focus on Marketing. In this role, you'll play a critical part in helping our Marketing team make data-driven decisions by creating data-driven solutions, using strategic context to develop success metrics, and providing valuable insights through clear, impactful data products and visualizations. As a senior member of the BI function, you will lead development efforts, drive best practices, and serve as a trusted advisor to cross-functional stakeholders, particularly with Marketing. About Talkiatry Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has [... source excerpt omitted ...] n team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. You will: Build and maintain clean, scalable data models and pipelines to support marketing analytics and reporting using tools like Snowflake, dbt, and Databricks Collaborate closely with Marketing stakeholders to understand business goals and translate them into data requirements and insightful data products Develop and maintain user-friendly BI solutions to monitor marketing performance, campaign effectiveness, and key KPIs Build data models that match our robust data governance, data quality, an