Sr. Data Analyst - Data Model Regulatory

About Cobalt Streamworks Cobalt Streamworks is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Cobalt Streamworks is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can't wait to meet you. As a Senior Analyst in a well-funded Series C stage start-up, you will be defining our growth potential for years to come.You will be an integral part of Cobalt Streamworks 's data team, working to develop and maintain our data model, curate the semantic layer that powers our analytics and intelligent tools, and generate the new features that unlock deeper insight into our claims. For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non-technical stakeholders alike, and the ability to both run independently and collaborate with our engineering and operations orgs. If you are ready to mold the vision for Cobalt Streamworks ’s technology, join us on the journey. What you will do: Work with our data stack: Python, Postgres, Looker, dbt, AWS, and Dagster Develop and maintain our data model—generating new features, curating the semantic layer, and integrating new data sources—to build the trusted data asset that powers analytics, customer reporting, and the next generation of intelligent tools across Cobalt Streamworks Help translate the core lifecycle of a claim into structured data and partner with the product ops team to incorporate low drag data collection into the claim lifecycle Communicate ideas and specifications through detailed, precise writing Influence the culture, values, and processes of a growing engineering team Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!” Qualifications: 6-8 years of experience as an individual contributor with experience using modern analytics and programming languages with an emphasis on statistical analysis. Strong proficiency in SQL (e.g., Postgres, or BigQuery, or Snowflake) and experience working with large, structured datasets. A proven ability to communicate with both technical and non-technical audiences—including analysts, data engineers, and internal stakeholders—in a fast-paced environment. Have a strong demonstrated toolkit to build robust and performant models. Have a proven track record of shipping high quality data analysis at a high cadence. Able to think through stakeholder requirements and prioritize what is a must-have, nice-to-have, or irrelevant. Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency. Benefits: Generous health-insurance package with nationwide coverage, vision, & dental 401(k) retirement plan with employer matching Competitive PTO policy – we want our employees fresh, healthy, happy, and energized! Generous family leave policy after 8 months of continuous work Work from anywhere to facilitate your work life balance Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder! At Cobalt Streamworks , we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you! Originally posted on Himalayas