Analytics Engineer

Verse

Analytics Engineer responsible for data models and analytics strategy at Verse Medical. Collaborating across teams to enhance healthcare outcomes with modern data infrastructure.

Posted 5/26/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $125,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringanalytical engineeringdbtSQLPythondata modelingdata governancedata observabilitydata infrastructuredata pipelines

Soft Skills

problem solvingcommunicationanalytical skillsinitiativeautonomy