Senior Health Informatics Data Analyst

Wellth
•$150,000 - $180,000•Remote

About The Position

Wellth is a growth-stage digital health company using behavioral economics, habit science, and technology to motivate people living with chronic conditions to make healthier choices. As Senior Health Informatics Data Analyst, you will use healthcare data—including claims, medications, labs, and quality outcomes—to demonstrate the impact of Wellth’s behavior-change programs and inform client, product, and program decisions. You will serve as a healthcare data subject matter expert, guiding how client data is structured and analyzed, and turning complex results into actionable insights and clear narratives. This individual-contributor role is part of the data team and reports to the Director of Data Engineering and Analytics. You will work closely with data and analytics engineering, commercial, client success, product, marketing, client data teams, and senior leadership. The role includes developing analyses for commercial use, presenting findings to clients, supporting data onboarding, refining member-targeting algorithms, and creating external-facing materials such as blog posts, webinars, and white papers. The listed base compensation is $150,000–$180,000, with a competitive salary and commission structure.

Requirements

  • At least 5 years of experience working with healthcare products and data, including direct experience with medical and pharmacy claims, patient data, and other health-related datasets.
  • At least 3 years of professional experience as a healthcare data analyst in a client-facing capacity.
  • Experience optimizing SQL queries on analytical databases such as Redshift and Snowflake.
  • Proficiency with business intelligence tools such as Tableau, Power BI, or Sisense, and a strong eye for visual storytelling.
  • Strong understanding of healthcare quality metrics, including HEDIS and Stars, and ROI or financial modeling.
  • Strong communication skills, including the ability to explain complex data to technical and non-technical audiences.
  • Strong attention to detail and commitment to quality, with experience developing repeatable, scalable processes.
  • Ability to provide strategic insights and proactively identify ways to use data to meet client objectives and optimize quality measures.
  • Ability to build trusted client partnerships and provide actionable, data-driven recommendations.
  • Ability to own complex data projects and deliver results with minimal oversight.
  • Ability to operate as a subject matter expert and thought leader in ambiguous or complex problem areas.

Nice To Haves

  • Experience developing Python scripts for data manipulation and analysis.
  • Experience with light data science tasks, such as statistical modeling and exploratory data analysis.
  • Experience leveraging AI/ML tools for insight generation.

Responsibilities

  • Analyze data to identify trends, generate actionable insights, and propose strategies that improve outcomes for Wellth members and payer and provider clients.
  • Lead client discussions and present analyses and insights on quality metric performance, CMS measures, and ROI.
  • Develop and present complex reports, dashboards, visualizations, and presentations that demonstrate Wellth’s value and support new business and ongoing partnerships.
  • Collaborate with commercial and client success teams to identify data-driven solutions to client-specific challenges.
  • Support client data onboarding plans and execution, including internal and external coordination and communication.
  • Develop and refine algorithms to identify members most likely to benefit from Wellth’s interventions.
  • Recommend new use cases, enhancements to analytics capabilities, and ways to optimize data use for clients.
  • Stay current on healthcare trends and analytics methodologies and refine analytical methods.
  • Create external-facing materials, including blog posts, webinars, and white papers, to communicate Wellth’s outcomes and opportunities.
  • Partner with engineering teams on data modeling as a healthcare data expert.
  • Gather data requirements and deliver bespoke data solutions with data engineers, analytics engineers, and client data teams.
  • Provide data-driven feedback to product teams to inform product enhancements.
  • Use data storytelling and insights to help senior leadership shape client acquisition and retention strategies.

Benefits

  • Flexible working arrangements and remote-first practices and tools, with the option to work in the company’s gathering space in Marina Del Rey.
  • Competitive salary and commission structure.
  • Health, dental, and vision insurance.
  • FSA/HSA plans.
  • Opportunity to positively impact people who need it most.
  • Support from a highly dedicated team focused on building the future of healthcare.
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