Wellth is hiring a
Senior Healthcare Analytics Engineer

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Wellth

๐Ÿ’ต $130k-$180k
๐Ÿ“Remote - United States

Summary

Join a fast-growing digital health startup as an Analytics Engineer to help people live healthier by developing scalable analytics and predictive models for healthcare outcomes.

Requirements

  • 7+ years of professional experience as an analytics engineer or data analyst in the healthcare sector
  • Experience developing analyses offering strategic insights on quality metrics, CMS measures, and ROI
  • Expert familiarity with healthcare data standards and experience working with various healthcare data sets (claims, EHR, clinical, labs, etc.)
  • Experience working with HEDIS measure reporting and a familiarity with Star Ratings in Medicare Advantage
  • Fluency in evolving healthcare industry standards, analytics techniques, and best practices
  • 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
  • Proficiency in developing, executing, and maintaining dbt models
  • Experience working on software development teams, including proficiency with Git for collaborating via pull/merge requests and knowledge of agile and scrum methodologies
  • Proficiency in analyzing and using database schemas and data dictionaries
  • Knowledge of Redshift, BigQuery, and other data warehouse infrastructure
  • Knowledge of orchestration frameworks such as Airflow, Fivetran, or Flyte
  • A consistent track record of solving ambiguous and highly complex technical problems with reliable delivery of their solutions
  • Comfort with autonomy in the face of ambiguous problems, delivering independently and in a team environment
  • Excellent verbal and written communication skills and the ability to present complex data in an accessible way

Responsibilities

  • Architect and implement scalable analytics to demonstrate customer outcomes
  • Identify high-risk patients that are likely to gain significant benefit from Wellth programs
  • Develop and enhance propensity score models for generating synthetic control groups
  • Build and evolve predictive models: churn, health improvement, disease progression, behavioral improvement, and more
  • Investigate potential expansion/impact areas not yet addressed by Wellthโ€™s solutions
  • Tell a powerful story about the impact of Wellthโ€™s positive behavior change through data and data visualizations for health plan and provider customers
  • Develop and maintain a codebase for Wellthโ€™s data analysis and visualization package, focusing on healthcare outcomes
  • Build durable self-service data tools operating on health data that support product insights for our customers
  • Triage operational issues, address data bugs, and create and maintain documentation
  • 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)
  • Serve as a thought partner to our Product Managers and Product leadership team
  • Provide leadership on industry best practices, trending topics, and emergent technologies to continuously improve and refine our processes and systems

Preferred Qualifications

  • Familiarity with data orchestration technologies like Airflow, Dagster, or Fivetran
  • Experience with at least one data quality/observability tool such as dbt tests, Great Expectations, Metaplane, etc
  • Experience working with Jupyter, Spark, and other data research technologies
  • Deep data security knowledge to protect highly confidential and sensitive data, especially in the healthcare industry

Benefits

  • Flexible working arrangements
  • Robust paid time off
  • Generous parental leave program
  • Competitive salary & commission structure
  • Health, dental, vision insurance
  • FSA/HSA plans

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