About the roleWe are looking for a
Staff Analytics Engineer to join our team supporting our external data products. In this position, you will report to our
Head of Analytics and partner closely with the engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products.
This is a hands-on role that will develop into a player-coach position. You will design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes. Eventually, you will lead and grow a team of analytics engineers while staying technically hands-on.
Who will love this job- A data product builder - you love creating robust, scalable analytics solutions that drive decision-making.
- A client partner - you enjoy working directly with clients (asset managers, business owners, technical stakeholders) to understand their needs and deliver solutions that work in the real world.
- A technical problem solver - you're fluent in Python, SQL, and DBT, and know how to integrate them into a seamless analytics workflow.
- A team collaborator - you thrive in cross-functional work with engineering, product, and implementation teams.
- A strategic thinker - you look beyond the immediate task to anticipate analytics capabilities needed for future growth.
- A people builder - you get energy from growing engineers and building a high-performing team, not just shipping data products.
What you'll do- Own end-to-end implementations for the data products for our external customers.
- Set technical direction and standards for the analytics engineering team.
- Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
- Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
- Prototype new data products to add to our product suite.
- Collaborate with engineering to drive the roadmap for the data products.
- Mentor engineers and own their professional development.
- Use GitHub-based workflows to maintain clean, version-controlled analytics code.
- Act as a subject matter expert for analytics best practices.
You should have- 8+ years of experience in analytics engineering, data engineering, or a similar technical role.
- Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
- Strong experience designing, implementing, and maintaining data pipelines and models.
- Experience in a customer-facing role, working with technical and business stakeholders.
- Experience working with asset managers, business owners, or financial services data sets is a plus.
- Excellent problem-solving, communication, and collaboration skills.
- Must be based in Austin, TX.
We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays).
