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Sr. Analytics Engineer, Healthcare
Posted 2 days agoViewed
💎 Seniority level: Senior, 4+ years
💸 Salary: 160000.0 - 175000.0 USD per year
🔍 Industry: Healthcare
🏢 Company: Wellth
⏳ Experience: 4+ years
Requirements:
- 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.
- 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.
- A passion for metric governance and collaboration with technical and non-technical partners .
- Knowledge of orchestration frameworks such as Airflow, Fivetran, or Flyte.
Responsibilities:
- 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.
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