Remote Senior Healthcare Analytics Engineer

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 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
• Develop and maintain a codebase for Wellth’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