Serif Health was founded with a mission to make the US healthcare system more transparent, efficient, and affordable for everyone - and we believe working on healthcare should be a healthy experience. We are fully remote and offering competitive salaries and equity plans. While we are headquartered in California, our team has the flexibility to work from wherever they choose as long as they’re able to join meetings remotely and complete their work.

As a member of the Data Analytics team at Serif Health, you will play a critical role in driving cross-functional initiatives across data, revenue, product, and engineering to accelerate growth, margin, and product velocity. You will wear a lot of different hats, help mature & build new analytics functions, and manage stakeholders across multiple customer organizations. We are seeking collaborators who thrive in fast-paced environments, enjoy working directly with customers, and love solving ambiguous, data-rich problems to untangle healthcare pricing and make an impact.

Your primary responsibilities will include:

• Designing and automating reports and dashboards that clearly communicate insights to customers; creating compelling visualizations and summaries to support customer conversations, executive briefings, and strategic initiatives
• Translating ambiguous business questions into analytical frameworks and repeatable queries; developing and documenting repeatable methodologies for payer, provider, and market-level pricing analyses
• Surfacing trends in data gaps or inconsistencies and suggesting product development opportunities; Working cross-functionally with Product and Engineering teams to improve data cleanliness, streamline delivery, and scale custom reporting capabilities
• Analyzing large-scale price transparency datasets to identify pricing trends, reimbursement benchmarks, and provider network dynamics; partnering with Customer Operations, Sales, and Engineering teams to deliver high-impact analyses that inform customer strategies and drive new business
• Supporting RFPs, sales enablement efforts, and strategic accounts with ad-hoc analyses
• Directly collaborating with customers on data projects to build new Serif Health IP (e.g., custom reports and insights)
• Identifying and analyzing potential additional price transparency data-sets (e.g., related to ambulatory surgical centers, imaging facilities, or prescription drugs)
• Expressing interest and a growth mindset for industry developments, internal initiatives, and best practices in healthcare data analytics
• Supporting ad-hoc strategic initiatives led by company leadership, including special projects with the CEO or CTO

What We Expect:

• 3-5 years of work experience in a professional field (e.g., analytics, consulting, health tech, finance, etc.)
• Proficiency in Excel and/or SQL, as well as data analytics/visualization platforms (e.g., Sigma Computing, Tableau, SaaS platforms) for data manipulation and analysis
• Comfort working with large-scale datasets; price transparency or other healthcare data experience (e.g., claims data, medical records) highly preferred
• A track record of solving complex, unstructured problems with creativity and precision
• Strong communication skills and the ability to present data-driven narratives to stakeholders at all levels
• An ability to work independently, move quickly with accuracy, and self-manage for high impact in a small team environment 
• High attention to detail, strong written and verbal communication skills, and professionalism
• Passion for problem solving and increasing affordability & transparency in the US healthcare market

On the benchmarking and price ingestion side, we have price ingestion running in a job system on top of EC2 & EMR / Spark, with our core data lake and ETL pipelines run on Databricks. We ingest a nationwide dataset of nearly half a trillion rows, several TB of data from hundreds of sources, and have the ability to slice and distribute any volume of that data out to customers.

Our high-throughput APIs and backend are actively being migrated to Golang for the benefits type safety can provide, and all of our backend services run in an autoscaling, self-healing Kube cluster. Our frontend web app is NodeJS/VueJS on Postgres.

Our cloud provider is AWS, with config and deployments via GH Actions + Terraform.