Analytics Engineer

Verse Medical Inc.

Job Overview

Location

New York City

Job Type

Full-time

Full Job Description

📋 Description

• Build and maintain clean, well-structured data models that support business operations, executive reporting, revenue cycle analysis, and go-to-market strategy.
• Partner with cross-functional stakeholders to translate complex business problems into scalable, actionable data solutions that drive decision-making across the organization.
• Design and implement a semantic layer with standardized documentation, naming conventions, and freshness SLAs to ensure consistent data interpretation.
• Ensure data accuracy, quality, and regulatory compliance through governance frameworks, observability tools, and proactive monitoring systems.
• Optimize data architecture and storage solutions to improve performance, reduce infrastructure costs, and enhance efficiency of batch and real-time data workflows.
• Contribute to PHI-adjacent data modeling efforts by applying best practices for governed data separation and privacy-preserving architectures.
• Own the end-to-end lifecycle of production data products—from concept and design to deployment, monitoring, and iterative improvement.
• Operate with high autonomy in a fast-paced, mission-driven environment, taking initiative to identify and solve critical data gaps without explicit direction.
• Collaborate closely with engineering, product, finance, and clinical operations teams to align data infrastructure with organizational priorities and user needs.
• Leverage dbt as the core transformation tool, owning project structure, source definitions, test coverage, documentation, and change management processes.
• Write complex, high-performance SQL queries and Python scripts to extract, transform, and load data across heterogeneous sources.
• Integrate and manage modern data stack components including Snowflake as the primary cloud warehouse and BI tools such as Metabase, Tableau, or Looker.
• Design and scale end-to-end data infrastructure including pipelines, dimensional models, analytics layers, and datasets optimized for machine learning readiness.
• Apply data modeling, governance, privacy, and observability best practices to ensure reliable and auditable data systems.
• Communicate technical concepts clearly to non-technical audiences, enabling broader organizational adoption of data-driven insights.
• Support data platform migrations and strategic decisions around data architecture evolution as the company scales.
• Maintain awareness of healthcare data regulations and apply HIPAA-compliant practices where data touches protected health information.

🎯 Requirements

• 4+ years of experience in data engineering, analytical engineering, or analytical roles with strong dbt ownership
• Deep dbt proficiency, including ownership of 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 Snowflake (preferred) and BI platforms like Metabase, Tableau, or Looker
• Proven ability to design, build, and scale end-to-end data infrastructure including pipelines, schemas, dimensional models, and analytics layers
• Strong understanding of data modeling, governance, privacy, and observability best practices

🏖️ 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 requiring 4 days per week in the New York City office

Skills & Technologies

Python

Hybrid

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Verse Medical Inc.

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About Verse Medical Inc.

Verse Medical Inc. operates a digital platform that connects healthcare providers with medical suppliers for purchasing surgical and clinical supplies. The company streamlines procurement through a cloud-based marketplace, offering real-time pricing, inventory visibility, and analytics tools to reduce costs and improve supply chain efficiency for hospitals and surgery centers across the United States.

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