Analytics Engineer
Analytics
Business Analytics
Business Intelligence
Cloud Platform
Data Analytics
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Management
Data Modeling
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
ETL
Looker
Metabase
Reporting and Analytics
Tableau
Job Description
Analytics Engineer position at Verse Medical, based in New York, NY with hybrid work options, offering USD 125,000β180,000 per year.
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 data freshness SLAs.
- 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
- 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).
Technologies
- dbt
- SQL
- Python
- Snowflake
- Metabase
- Tableau
- Looker
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