What we do

We’re fixing one of the most broken and costly pieces of the US healthcare system: medical billing.

Today, healthcare providers spend over $250B each year on administrative overhead just to get paid by insurance. Medical billing is expensive because it’s nuanced and hard - maybe ~100x harder than credit card payment processing - and because it’s traditionally done by armies of humans who track and manage complex rules and processes specific to individual insurance companies with little or no supporting software.

We’re rethinking medical billing from the ground up, using data science and machine learning to automate much of this complexity, so healthcare providers can get paid dramatically more easily and inexpensively.

Since finishing the Y Combinator W20 batch we've been funded by an incredible group of funds + angel investors. We have many more customers begging to use our product than we have bandwidth to serve, which is why we need you to help us scale!

The Role

At Candid Health, we’re searching for our first Analytics Lead to help us enhance efficiency, product scalability and operational decision making. You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. 

What You’ll Do

• Perform Critical Data Analysis for a Broad Range of Stakeholders: Build analytics, and visualizations for varying use cases. Play an influential role in delivering the insights that Candid Health uses to inform our business strategies
• Enable Self Serve Solutions to Internal Teams: Deliver internal products that make our teams more more efficient and self reliant through improved tooling and operational workflows
• Build High Value Data Products: Data Analysis is in the critical path of value for Candid Customers. Build robust, scalable data models for Candid clients.
• Own BI Platform Implementation: Maintain reporting and visualization platforms to keep data accurate, accessible, and available

Who You Are

• You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
• You have 4+ years of experience working with data at scale, performing analysis, ETL, and process automation
• You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
• You have a strong understanding of SQL and have used it in complex data environments
• You have a deep understanding of how different users leverage data and are able to build the right insights and tools for them
• You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large
• You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.
• Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT.

Pay Transparency

The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles

Back: modern Python (async, type annotated) ~mini services, Celery + Redis for task queues, Postgres.

Front: Typescript + React. Good use of hooks + styled components.

Infra: Containerize all the things. docker-compose locally, Kuberntes + Istio on GCP. Pretty sophisticated developer tooling + CI (Github Actions) given our size.