Rezilient is seeking a Senior Data Analyst to play a critical role in driving data-driven service delivery and operational excellence through advanced analytics, data modeling and performance insights. The role will analyze complex, multimodal healthcare data, and collaborate with clinical, operations and technical teams to design and implement solutions that enhance care delivery and inform strategic decisions across the organization.
Requirements
- Bachelor's degree in Data Science, Computer Science, Public Health, Informatics, or a related quantitative field.
- 5+ years of progressive experience in healthcare data analysis with a proven track record of delivering meaningful insights.
- Strong understanding of healthcare data standards, clinical and/or payment workflows, and regulatory frameworks (e.g., HIPAA).
- Advanced proficiency in SQL and Python for data manipulation, analysis and automation.
- Proven ability to build and maintain dashboards using business intelligence tools such as AWS Quicksight, Tableau or PowerBI.
- Demonstrated experience with cloud-based data architectures and warehousing tools (e.g., AWS, Azure, Snowflake).
- Solid understanding of data modeling, data warehousing, and data governance, including familiarity with ETL tools.
- Familiarity with structured SDLC practices, including collaborative development, version control, and code management using tools such as GitHub or similar platforms.
- Experience in healthcare performance improvement and quality frameworks (e.g., HEDIS, MIPS) strongly desired.
- Excellent communication and presentation skills with the ability to bridge technical and non-technical stakeholders.
- Highly organized, detail-oriented, with the ability to manage multiple priorities and work independently in a fast-paced environment.
Benefits
- Generous Paid Time Off
- Paid Family Leave
- Comprehensive Medical, Dental, Vision, and Life Insurance
- Stock Options