• Develop/validate HEDIS measures per NCQA specs, analyze claims/eligibility/EHR/pharmacy/lab data, support annual submissions, audits, and dashboards. • Build/optimize SQL queries, ETL pipelines, and data transformations; improve data quality; document lineage and mappings. • Manage provider lists, validate chart abstraction, support outreach for care gaps. • Work with Quality, Clinical, Provider Relations, and Compliance teams; provide guidance on anomalies; present insights to leadership. • Assist with NCQA audit prep, ensure regulatory adherence, maintain audit trails and reporting artifacts.

• Collaborate with team members and stakeholders to define key business metrics and gather requirements for which insights should be made available at scale • Architect data pipelines, design, and build new dashboards for stakeholders to address their needs • Maintain and improve existing data infrastructure and dashboards based on evolving business requirements • Publish and maintain clear documentation to inform and educate users at scale, gather feedback to identify opportunities for improvement • Identify ways to streamline and improve the efficiency of our data • Implement changes to our infrastructure (optimize SQL queries and data workflows) to improve the landing time of our data • Work with cross-functional teams including to identify data needs and gaps and align on solutions • Lead projects end to end, see around corners, and provide thought partnership to your team • Demonstrate full contractual understanding of client and departmental requirements to ensure analytics deliverables align with contractual obligations, service-level expectations, and business outcomes • Partner with leadership to identify data-driven improvements, surface risks or issues, and support solution-based initiatives and transformational projects • Act as a trusted analytics advisor to leadership, providing insights, recommendations, and proactive guidance based on data trends and performance metrics • Support operational and strategic decision-making through clear communication of complex data concepts to both technical and non-technical audiences.

• Profile, analyze, and remediate data quality issues across master data domains through root cause analysis, cleansing, standardization, and reconciliation. • Define, implement, and monitor data quality rules, validations, and controls to improve data integrity and governance. • Leverage AI-powered tools and coding assistants to accelerate analysis, generate SQL, document findings, and explore enterprise data. • Partner with Finance, Operations, Revenue Cycle, Clinical teams, and Domain Stewards to investigate issues and drive data remediation initiatives. • Translate business requirements into actionable data quality standards, test cases, business rules, and stakeholder-friendly documentation. • Build and maintain data quality dashboards, scorecards, and reporting in Power BI, Databricks, and Excel while tracking issue resolution and escalating systemic risks.

• Initiating the development and deployment of data analytics at Intermountain Health. • Acting in a more senior capacity, contributing to strategic initiatives, clinical standards, and operational goals through data insights. • Collaborating with business and clinical leaders across Intermountain Health. • Ensuring data applications are maintained, monitored, promoted, and used effectively. • Providing advanced support for management level leadership in a business or clinical area. • Fulfilling complex customer requests through data exploration, report development, and visual storytelling. • Independently providing project updates and communicating analytic findings to customers. • Leading analytic work demonstrations and hands-on training to promote understanding and independent consumption of analytic work.