$ cat jobs/staff-analytics-engineer-setpoint-cf1583b57463.json
Staff 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 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
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