Job description

Building the financial operating system for healthcare, and bringing the joy back to healthcare by fixing the financial chaos behind it. The healthcare payment system is a complex and inefficient maze - healthcare practices leave $125 billion in revenue uncollected each year, lost in the chaos of fragmented financial data, manual workflows, and opaque payer systems. This financial uncertainty leaves practices struggling to stay afloat, while valuable revenue slips through the cracks. Joyful Health is building the AI-powered financial operating system for healthcare practices. Our mission is to bring the joy back to running a private practice by simplifying financial operations so providers can focus on patient care. We spent 10 months working as fractional CFOs for a dozen practices, doing this work side by side with providers as we developed our product. We just announced our $22M Series A led by CRV and world-class investors including the founders of MongoDB & KAYAK. This role is full-time. We’re looking for someone NYC-based who is open to coming into the office 3 days a week. The base pay range for this role is $120,000–$235,000 per year. ROLE DESCRIPTION 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 WORKING AT JOYFUL At Joyful Health, we're on a mission to fix one of the most broken systems in healthcare. Learn more about our culture and how we do work at Joyful here joyful-health.notion.site! Joining us means having the opportunity to make a direct, meaningful impact on the lives of clinicians and the financial health of their practices. Here's what you can expect from working with us: 🚀 Meaningful Impact You'll be tackling one of the most complex challenges in healthcare—helping practices thrive in a chaotic financial landscape. Your work will directly contribute to solving one of the most hair on fire problems for providers, ensuring that they can focus on what they do best: caring for patients. 🔑 Autonomy & Ownership As an early team member, you'll have significant autonomy and the chance to shape our company from the ground up. You'll have ownership over your work and the freedom to challenge the status quo in an environment that values initiative and creativity. 📈 Growth & Learning We're a small, ambitious team with big goals, which means you'll be constantly learning and growing. You'll take on new challenges, expand your skill set, and have direct access to experienced founders and advisors who are invested in your development. We also offer stipends for professional development courses & books (that we often will partake in together!) so we can all continuously grow. 💰 Competitive Compensation & Equity We believe that our team is our most valuable asset. We offer competitive compensation packages, strong equity, and the opportunity to share in the success of Joyful Health. We want you to feel supported, both financially and professionally, as we grow together. ❤️ Be Your Best Self We provide the benefits you need to stay happy and healthy, including comprehensive healthcare benefits, unlimited PTO (with a minimum of 10 days off a year), and flexibility so you can take care of yourself. We also organize regular team off-sites and events to ensure that even as we tackle big problems we enjoy the journey. If you're passionate about empowering practices and excited to tackle one of the most important (& challenging!) problems in healthcare, we'd love to meet you. Please apply even if you don't meet 100% of the criteria. Nobody checks every box every time and we'd love to talk to you about how and why you can see yourself growing into this role. We're also very open to candidates with non-traditional experience.

Requirements

Must-haves

Building the financial operating system for healthcare, and bringing the joy back to healthcare by fixing the financial chaos behind it.
We just announced our $22M Series A led by CRV and world-class investors including the founders of MongoDB & KAYAK.
This role is full-time. We’re looking for someone NYC-based who is open to coming into the office 3 days a week.
This role is full-time. We're looking for candidates based in NYC.
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.
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.
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.
You have 5+ years of experience in analytics engineering, data analytics, or business intelligence, with a focus on building data models and metrics frameworks.
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
At Joyful Health, we're on a mission to fix one of the most broken systems in healthcare.
Learn more about our culture and how we do work at Joyful here https://joyful-health.notion.site/Public-How-We-Work-Guide-2c30f4731c828043baebd76d6d3657bb?source=copy_link!
Joining us means having the opportunity to make a direct, meaningful impact on the lives of clinicians and the financial health of their practices. Here's what you can expect from working with us:
If you're passionate about empowering practices and excited to tackle one of the most important (& challenging!) problems in healthcare, we'd love to meet you.

Nice-to-haves

Experience working with healthcare data or financial analytics is a plus.

Application prep

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aigosqlpythonci/cd

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Effort: quick

Benefits

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Pto

Professional Development