Lead Analytics Engineer

We’re partnered with a fast-scaling healthcare technology company building modern infrastructure that improves healthcare delivery and patient outcomes at scale.

They’re now looking for a Lead Analytics Engineer – Data Modeling & Quality to play a critical role in shaping how trusted data products are built, governed, and delivered across the business.

This position sits at the intersection of analytics engineering, data modeling, transformation architecture, and data quality, helping create reliable datasets and scalable foundations that drive better decisions and operational outcomes across healthcare products and services.

What's on offer

• Total compensation up to $185k
• Remote-first environment with strong flexibility
• Opportunity to own and shape a critical data domain at scale
• High-impact role within a mission-driven healthcare technology business
• Collaborative engineering culture investing in modern data platforms and engineering practices

The Mandate

• Lead the design and evolution of scalable data models powering analytics and business outcomes
• Own the transformation and semantic layer that converts raw operational and clinical data into trusted datasets
• Establish and drive data quality standards, validation frameworks, and governance practices across analytics products
• Build scalable, maintainable pipelines and transformation logic with long-term reliability in mind
• Partner closely with Engineering, Analytics, Product, and business stakeholders to align data solutions with business outcomes
• Improve observability, monitoring, testing, and confidence across data products and reporting layers
• Influence architecture direction and create sustainable foundations for future scale
• Bring structure and clarity to complex data challenges while balancing speed, quality, and maintainability

What We’re Looking For

• Strong experience across Analytics Engineering, Data Modeling, or Data Platform Engineering environments
• Deep understanding of dimensional modeling, transformation design, and building trusted data products
• Experience establishing and operating data quality frameworks and controls
• Strong SQL skills and experience working with modern transformation tooling (dbt or similar)
• Experience building scalable cloud-native data solutions
• Strong understanding of data lifecycle, governance, testing, and observability practices
• Ability to operate across technical and non-technical stakeholder groups
• Pragmatic mindset with the ability to balance delivery timelines and long-term platform quality
• Strong communication skills and the ability to simplify complex data concepts

Bonus

• Experience in healthcare or regulated environments
• Exposure to large-scale operational or clinical datasets
• Experience with modern cloud data platforms (Snowflake, BigQuery, Databricks, etc.)
• Background in platform thinking, reusable frameworks, or self-serve analytics enablement
• Experience introducing data reliability or observability practices at scale

Sounds interesting? Please apply to find out more!