Skip to content

Founding Analytics Engineer

Joyful Health LogoJoyful Health
Apply View Organization

Salary

$120,000 - $235,000

Location

New York, NY

Posted

Yesterday

We're looking for a talented and ambitious founding analytics engineer with 5+ years of experience in building data models and analytics infrastructure who's excited to create the analytics foundation from the ground up. You'll be the first analytics hire, responsible for designing and implementing the entire analytics infrastructure, defining our metrics framework, and transforming complex healthcare financial data into actionable insights.

Healthcare financial data is notoriously complex and fragmented - each practice has unique systems, inconsistent data structures, and limited visibility into their financial performance. This has meant that very few solutions have emerged in the market that actually help practices make informed decisions about their business. We've begun to crack this challenge, and now we need someone to build the analytics infrastructure and system design that will enable both our team and our customers to make data-driven decisions at scale.

As the founding analytics engineer, you'll have an outsized impact on the company's trajectory, establishing the analytics patterns and practices that will scale with us. This is a rare opportunity to build something from scratch - you'll own the entire analytics stack, from infrastructure and data modeling to visualization and metrics definitions. You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you'll be able to wear many hats and take on new challenges as they arise.

This role is full-time. We're looking for candidates based in NYC.

What you'll do

  • Build the analytics infrastructure from scratch - design and implement the entire analytics stack, including the data warehouse architecture, transformation layer, semantic layer, and visualization tools.
  • Establish foundational data models - create robust, scalable data models that transform raw healthcare financial data into clear, actionable metrics and insights. Define the modeling patterns and conventions that the team will follow as we scale.
  • Design the metrics framework - work with leadership to define key business metrics, establish metrics definitions, and build the infrastructure to track them reliably. Own how we measure success across the organization.
  • Create self-service analytics capabilities - build intuitive dashboards and analytics tools that enable both internal teams and customers to understand revenue cycle performance, identify uncollected revenue, and track financial health.
  • Drive the analytics roadmap - partner closely with product, engineering, and customer success to prioritize analytics initiatives, define requirements, and ensure we're building the right solutions.
  • Build data transformation pipelines - implement modern ELT/ETL patterns using tools like dbt to ensure data quality, reliability, and performance at scale.
  • Establish best practices and standards - define data governance policies, documentation standards, testing frameworks, and code review processes that will serve as the foundation for the analytics team as it grows.
  • Define business logic - collaborate on complex revenue recognition rules, financial calculations, and healthcare billing logic that powers our analytics.

We'd love to hear from you if…

  • You're passionate about Joyful Health's mission – you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind.
  • You're excited to shape the future of our analytics capabilities and are excited to lead by example – as an early team member, you'll have the chance to influence everything from our data modeling approach to our analytics culture. You have a radical sense of ownership with the ability and desire to own the analytics roadmap and refine ambiguous problems. You also have a low ego, growth mindset, and desire to see the product and team scale with your impact.
  • You have a love for your craft and strong technical execution - you view analytics engineering as a craft, not just a task, and you're excited about using data to create meaningful impact. Your technical skills go beyond writing SQL—you care about building analytics that drive real business decisions, with the user at the forefront. We care more about your drive, hustle, and passion than a college degree from a shiny institution or experience at name-brand companies.
  • You have 5+ years of experience in analytics engineering, data analytics, or business intelligence, with a focus on building data models and metrics frameworks.
    • Experience working with healthcare data or financial analytics is a plus.
  • Proficiency in:
    • SQL and data modeling best practices, with the ability to write efficient, maintainable queries
    • Modern analytics tools such as dbt, Looker, Tableau, or similar platforms
    • Python for data analysis and automation
    • Data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift, etc.)
    • Version control and CI/CD workflows such as Github actions

‌