Interwell Health is looking to analyze complex operational and product-related data to support strategic decision-making and improve the performance of its tools and services.
Requirements
- SQL (queries, stored procedures, triggers, functions, views, tables, constraints, etc.)
- SQL query tuning
- Statistical software and programming languages such as R, Python, and/or SAS
- Data visualization tools such as Tableau, Power BI, or similar
- Healthcare data sources, including EHRs, claims data, and public health databases
- VBC, healthcare regulations, standards, and best practices
Responsibilities
- Analyze large datasets from various sources, including electronic health records (EHRs), claims data, membership and eligibility files, and public health databases
- Develop and implement advanced statistical models and algorithms to identify trends, patterns, and insights in healthcare data
- Conduct product-focused healthcare analytics to evaluate feature effectiveness, user engagement, and clinical workflow impact, identifying opportunities to enhance care delivery and operational efficiency
- Create and maintain dashboards, reports, and visualizations to communicate findings to stakeholders
- Provide actionable recommendations based on data analysis to support healthcare strategies and initiatives
- Collaborate with clinical, operational, and IT teams to ensure data integrity and accuracy
- Stay current with industry trends, best practices, and emerging technologies in healthcare data analytics
Other
- Bachelor's degree in Data Science, Statistics, Public Health, Healthcare Administration, or a related field
- Minimum of 5 years of experience in healthcare data analytics
- Excellent analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights
- Excellent interpersonal skills with the ability to influence, negotiate, and build consensus at senior levels, representing data analysis as a key driver of business insights
- Skilled at balancing multiple priorities and projects in a fast-paced environment, both independently and as part of a team
