Sr. Analytics Engineer, Healthcare

About Wellth:

Use your engineering experience to help people live healthier

Wellth is a fast-growing, growth-stage digital health company headquartered in Los Angeles. Our mission is to motivate people living with chronic conditions to make healthier choices, every single day.

We use behavioral economics, habit science and technology to motivate lasting behavior change in some of the highest need and most underserved populations in the US (Medicare and Medicaid), drastically changing their quality of life and health outcomes. We have demonstrated results with several large insurers and health systems (e.g. reducing hospitalizations by over 40%), and are now rapidly scaling. Our goal is to be the category leader in improving health outcomes for hard-to-engage populations. A key difference at Wellth compared to other digital health companies is that our users (Members) actually use Wellth every single day - think TikTok tier daily engagement (and data generation!).

But most importantly, our work quite literally saves lives by stabilizing chronic disease patients and preventing disease progression, hospitalization, and other bad outcomes. We are a mission-driven company where you work with incredible talent and see tangible differences directly from your impact and influence.

About the Role:

You have the opportunity to build systems that drive daily healthy habit experiences.

Some of the problems you’ll work on include:

• Architect and implement scalable analytics to demonstrate customer outcomes.
• Develop risk score models to identify high-risk members.
• Build and evolve predictive models: churn, health improvement, disease progression, behavioral improvement, and more.
• Investigate potential expansion/impact areas not yet addressed by Wellth’s solutions.
• Tell a powerful story about the impact of Wellth’s positive behavior change through data and data visualizations for health plan and provider customers.

Specifically, you will:

• Develop and maintain purpose-fit data layers for Wellth’s data analysis and visualization package, focusing on healthcare outcomes. 
• Optimize and experiment with new and existing business-critical data models.
• Seek, make available, and consume new data sets, including but not limited to healthcare data standard sets (e.g. claims data, clinical information, EHR data)
• Triage operational issues, address data bugs, and create and maintain documentation.
• Serve as a thought partner to our Product Managers and Product leadership team. Educate our teams to help us ask better questions, interpret findings more effectively, and drive informed decision-making.
• Provide leadership on industry best practices, trending topics, and emergent technologies to continuously improve and refine our processes and systems.

You will be a member of a diverse and supportive team. 

You will work with:

• Product leaders on building out a scalable healthcare outcomes analytics product.
• Client success leaders to deliver evidence of Wellth’s outcomes.
• Data engineers, analysts, and data operators to establish and maintain best practices in engineering and data operations. 
• Director of Data Engineering, focusing on your professional growth in analytics engineering, data science, and leadership within the healthcare outcomes domain.

You might be the candidate we’re looking for.

We’re looking for someone who has:

• Healthcare experience
• 4+ years of professional experience as an analytics engineer or data analyst in the healthcare sector and at least 7+years professional experience, including hands-on with sensitive claims data, patient data, and other healthcare data sets.
• Experience developing analyses offering strategic insights on quality metrics and ROI.
• Expert familiarity with healthcare data standards and experience working with various healthcare data sets (claims, PBM. EHR, clinical, labs, etc.).
• Experience working with HEDIS measure reporting and a familiarity with Star Ratings, especially medication adherence in Medicare Advantage
• Fluency in evolving healthcare industry standards, analytics techniques, and best practices, applying them to analytical methods that drive more meaningful insights.

• Analytics Engineering Skills
• Experience with architecting and operating production data systems: responding to and triaging issues, optimizing performance, and increasing stability..
• Advanced proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices.
• Proven ability to design and implement advanced, customer-facing data visualizations.