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Tech Stack
Tools & technologiesCloudPySparkPythonSQLTableau
About the role
Key responsibilities & impact- Design and deliver recurring Power BI and ad-hoc Excel reports to stakeholders
- Acquire and manage data from internal and external sources
- Ensure timely delivery of insights for business-critical decisions
- Analyze complex datasets to identify trends, patterns, and anomalies
- Translate findings into clear, concise summaries for leadership and operations
- Support strategic initiatives with data-driven recommendations
- Use SQL Server, Snowflake, Databricks, and Git for automation and process improvement
- Identify and implement process enhancements to improve quality, efficiency, and accuracy
- Design and develop AI-powered agents to automate insight generation and reporting workflows
- Integrate AI models to enhance analytics capabilities and enable intelligent decision support
- Evaluate and implement AI tools to improve efficiency and accuracy in data-driven processes
- Design and optimize large-scale data models for complex analytics and reporting requirements
- Implement dimensional modeling and star schema architectures
- Collaborate with data engineers to ensure scalable and maintainable data structures
- Establish and enforce validation standards for data integrity and report accuracy
- Conduct thorough QA checks on deliverables and reporting outputs
- Document and maintain quality protocols for consistency
Requirements
What you’ll need- Minimum 5 years of experience working in an analytics role with complex datasets
- Background in healthcare, finance, or operations analytics
- Expert in SQL on any platform, including Snowflake/T-SQL/Microsoft SQL; must pass proficiency test
- Advanced experience with data visualization tools such as Power BI or Tableau
- Familiarity with Epic data structures and healthcare data systems
- Strong analytical and problem-solving skills
- Familiarity with cloud-based data warehouses such as Snowflake and Databricks
- Proficiency with Git for version control and collaborative development workflows
- Excellent communication and presentation abilities
- Attention to detail and commitment to data quality
- Familiarity with relational databases and large-scale data environments
- Ability to manage multiple priorities in a fast-paced setting
- Hands-on experience with AI-assisted development tools such as Claude Code or Copilot CLI
- Demonstrated ability to leverage AI models for analytics and automation
- Preferred: experience with Python or DAX to automate enterprise report delivery
- Preferred: experience with Python or PySpark for data analysis and automation
- Preferred: knowledge of data governance and compliance standards
- Preferred: expertise in designing and implementing AI agents for business process automation and analytics workflows
Benefits
Comp & perks- Annual bonus plan at a target of 5.00%
- Competitive benefits package
- Opportunities to constantly learn, collaborate across groups, and explore new career paths
- Opportunities to contribute, think boldly, and create meaningful work
- Community giving and support initiatives
- Reasonable accommodation support for applicants with disabilities