Data Analyst – Technical – Senior
About The Position
The Senior Technical Data Analyst serves as the primary data analyst supporting management-level leadership in a system business or clinical domain. The role applies clinical and technical expertise to healthcare data, delivering insights and solutions to customers and the organization. It uses advanced SQL to develop technical products and support strategic initiatives and operational targets, while ensuring customer data integrity and accuracy. The analyst creates consumer-centric, visually appealing reports and dashboards using Cognos and Tableau, and drives insights through data exploration, interpretation, report development, and visual storytelling. The role also provides ongoing training, maintenance, monitoring, and promotion of data applications and reports so insights remain accessible and useful across the organization. The position facilitates regular stakeholder meetings to share updates, set priorities, establish timelines, and ensure customer priorities are understood and resourced. It proactively analyzes business performance, identifies areas for efficiency and productivity improvement, and seeks collaboration opportunities across teams. The position is based in Murray, Utah, and may be performed from home two days per week within a reasonable commuting distance.
Requirements
- Master’s degree or equivalent foreign education in Statistics, Mathematics, Information Systems and Assurance, or Computer Science; alternatively, a bachelor’s degree or equivalent foreign education in one of those disciplines and two years of experience.
- Knowledge of advanced SQL and database design, including window functions, CTEs, query optimization, performance tuning, and dimensional modeling.
- Knowledge of advanced Excel, including Power Query, nested logic, and dynamic arrays.
- Knowledge of Tableau, including LOD expressions, data blending, dashboard actions, and executive-ready storytelling.
- Knowledge of R and Python for data wrangling, pipeline automation, and statistical or predictive modeling.
- Knowledge of user experience design for analytics products.
- Knowledge of Jira and Scaled Agile Framework (SAFe) practices and cross-functional collaboration.
- Knowledge of hospital operating room workflow, gained either as a clinician working in an operating room or as a data analyst working with operating room data and problems.
- Knowledge of validation and QA methods for self-generated and peer content, including reconciliation, anomaly detection, and unit checks.
- Knowledge of healthcare billing and clinical coding, including ICD-9/ICD-10, CPT, HCPCS, and MS-DRG assignment logic.
- Knowledge of claims data analysis and surgical cohort definition, integrating financial data with case data.
- Knowledge of national surgical databases and registries (Seer Medicare, NTDB, HCUP, TQIP), including extracting, transforming, and statistically benchmarking against internal clinical outcomes.
- Knowledge of report automation, KPI design, and stakeholder enablement.
- Knowledge of GIS-based socioeconomic scoring methods (ADI, SVI) using US Census data.
- Applicants are subject to drug testing or screening and background checks upon hire.
Responsibilities
- Serve as the primary data analyst supporting management-level leadership of a system business or clinical domain.
- Use clinical and technical expertise to leverage healthcare data and provide insights and solutions to customers and the organization.
- Use advanced SQL to develop technical products and enable strategic initiatives and operational targets.
- Ensure the integrity and accuracy of customer data.
- Create visually appealing, content-rich, consumer-centric reports and dashboards using Cognos and Tableau.
- Drive information insights through data exploration, interpretation, report development, and visual storytelling.
- Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports.
- Facilitate regular meetings with customer stakeholders to provide updates, set priorities, establish deliverable timelines, and ensure customer priorities are understood and resourced.
- Analyze data proactively to answer questions about business performance and identify areas for improvement in efficiency and productivity.
- Seek opportunities for collaboration between teams to enhance analytic services.
Benefits
- A comprehensive benefits package described as covering programs to foster wellness across living healthy, happy, secure, connected, and engaged.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
