Senior Analytics Engineer

About the role

Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit.

We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you’ll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes.

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.

What you’ll do

• Own end-to-end implementations for the data products for our external customers.
• 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.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

You should have

• 5+ 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.

Compensation: $150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications.