Analytics Engineer

Analytics Engineer We’re hiring an Analytics Engineer to sit at the intersection of data engineering and analytics. This is a high-impact, zero-to-one role where you’ll help build the analytics layers that will define the business, from operations and product to revenue cycle and GTM. You’ll work closely with various teams to ensure data is reliable, accessible, and actionable across the organization. If you enjoy high ownership, solving complex problems, and having a large impact on the analytical strategy of a company, this role is for you. Responsibilities Develop clean, well-structured data models that support business operations, executive reporting, and advanced analytics. Partner with functional stakeholders to translate business problems into scalable, actionable data solutions. Establish a semantic layer, documentation standards, and freshness SLA. Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices. Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch and real-time workflows. Contribute to PHI-adjacent modeling work with best practices on governed data separation. Own the ongoing reliability and evolution of production data products, driving projects from concept to execution. Operate with initiative and autonomy in a fast-paced, mission-driven environment. Qualifications 4+ years of experience in data engineering, analytical engineering, or analytical roles with strong dbt ownership. Deep dbt proficiency, with experience owning project structure, source definitions, test coverage, documentation, and change management. Strong SQL and Python skills, with experience building complex, high-performance queries. Familiarity with modern data stack tools including cloud warehouses (Snowflake preferred), and business intelligence tools (Metabase, Tableau, Looker, or similar). Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets. Strong understanding of data modeling, governance, privacy, and observability best practices. Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences. Preferred : Experience leading full-stack data architecture and making strategic data platform decisions. Preferred : Experience with data platform and business intelligence migrations. Preferred : Familiarity with healthcare or other regulated data (HIPAA compliance). Benefits Competitive compensation. Opportunities for rapid career advancement in a growing company. 100% premium coverage for health insurance. 401(k) with no matching at this time. Hybrid role based in our New York office and will require you to be in the office 4x in a week. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds: race, gender, age, religion, identity, experience. #J-18808-Ljbffr