• Design, build, and maintain a suite of Tableau dashboards/reports that provide real-time visibility into clinical operational efficiency and ops success metrics. • Build and maintain automation required for Quality Standards in alignment with our Customer Audit requirements. • Support the refinement and validation of predictive models used for member targeting and clinical program design. • Deliver high-quality, self-service Tableau reporting that empowers clinical and operational leaders to monitor performance and act on insights without analytical dependency. • Monitor and report on Clinical Performance Guarantees (PGs), proactively surfacing trends, anomalies, and root causes to support remediation planning.

Title: Data Analyst - Technical - Senior Location: Key Bank Tower Job Description: Job Description: Employer: IHC Health Services, Inc. (dba Intermountain Health) Job Title: Data Analyst - Technical - Senior Degree Required: Bachelor’s degree or equivalent foreign education Academic Discipline(s): Management Information Systems, Analytics, Statistics, Health Informatics, or a closely related field Experience Required: 5 years of post-degree progressive experience in healthcare data analytics OR Degree Required: Master’s degree or equivalent foreign education Academic Discipline(s): Management Information Systems, Analytics, Statistics, Health Informatics, or a closely related field Experience Required: 2 years of experience in healthcare data analytics Job Description: - Lead comprehensive analytics for national quality programs including HEDIS and Stars, overseeing the full lifecycle from technical specification translation, data validation, and rate calculation across both VBC and FFS populations. - Maintain in-depth knowledge of HEDIS/Stars measures’ technical specifications, served as the primary point of contact and subject matter expert in Quality Data for providers and operational leaders within the company. - Drive strategy and performance improvement for Value-Based Care models, developing reporting logic and incentive tracking for payment programs. Provided analytical insights that directly influenced care model design and provider engagement. - Support executive-level payer negotiations by delivering customized analytics for Medicare, Medicaid, and Commercial contracts. Provided data driven intelligence to organization leadership on program performance, risk adjustment, and contract optimization. - Lead KPI and performance metric reporting at the enterprise level, with audiences ranging from clinicians to executive stakeholders. - Support the integration and use of supplemental clinical data to enhance quality measures reporting, validate performance gaps, and increase data accuracy in alignment with HEDIS specifications and health plan requirements. - Support EMR data migration analytics during the transition from iCentra to Epic, ensuring the continuity of quality measure reporting, validating clinical data integrity, and guiding documentation alignment for post-go-live success. - Partner with data architecture teams to implement next-generation analytics platforms, including quality measure migration to Snowflake. Conducted QA and validation across systems to ensure functionality replication and metric continuity. - Develop and maintain robust SQL-based data pipelines across multi-environment platforms (SQL Server, Oracle, Redshift). Supplement SQL development with R scripts for predictive modeling, data automation, and statistical analysis. - Create predictive models to support monthly benchmark tracking and monitor KPI over time, enabling proactive intervention and performance optimization. - Lead cross-team data reconciliation projects, coordinating with third-party vendors, payer entities, and internal data engineers to identify and resolve data discrepancies, ensuring consistency and accuracy in claims and quality reporting. - Contribute to data governance, documentation, and quality assurance practices to ensure data accuracy and consistency. - Mentor junior analysts and lead peer review processes to enforce data quality standards and version control using Git-based tools like Bitbucket. This is a hybrid position requiring three days per week in-office. Position may telecommute within reasonable commuting distance of Salt Lake City, UT. Minimum Qualifications: - Knowledge of healthcare data analytics within a major healthcare delivery organization, including managed care settings. - Knowledge of conducting end-to-end analysis of HEDIS quality measures, including rate tracking, analytical support and intervention performance evaluation. - Knowledge of applying data analytics in support of Value-Based Care incentive programs, including familiarity with payment structures, attribution methodology, and payer contract performance. - Knowledge of EMR systems including iCentra PowerChart. - Knowledge of supporting healthcare data analytics across multiple payer programs, including Medicaid, Medicare, and Commercial health plans. - Knowledge of complex SQL querying to support enterprise-level data operations and analytics using Microsoft SQL Server, Oracle, and Amazon Redshift. - Knowledge of programming in Python and R. - Knowledge of data visualization tools including Tableau. - Knowledge of clinical coding systems including ICD-9/10, CPT, LOINC, HCPCS, and NDC. - Knowledge of quality assurance processes and collaborative analytics development using Git-based tools. Applicants will undergo a SQL proficiency test and need to score 65% or higher. Upon hire, all applicants will be subject to drug testing/screening and background checks. Salary (Annual): $151,819.00 - $161,819.00 Work Location: 36 S State Street, Suite 2200, Salt Lake City, UT 84111. This is a hybrid position requiring three days per week in-office. Position may telecommute within reasonable commuting distance of Salt Lake City, UT. Hours of Work: Usually 8 a.m. to 5 p.m., Monday through Friday Location: Key Bank Tower Work City: Salt Lake City Work State: Utah Scheduled Weekly Hours: 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $43.92 - $69.16

• Analyze and prepare data needed for modeling and ad hoc analyses • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner • Implement statistical and data mining techniques (e.g., hypothesis testing, machine learning, and retrieval processes) on large amounts of data to identify trends, patterns, and other relevant information • Collaborate with clients and other stakeholders to effectively integrate and communicate analysis findings • Evaluate emerging datasets and technologies that may supplement existing analytical platforms

• Use data to prove the ROI of our cybersecurity training platform • Navigate complex datasets using SQL and Python • Present insights to executive-level stakeholders • Partner with stakeholders in Federal agencies to translate their specific security compliance needs into data-driven success plans • Use Python and SQL to extract and manipulate large datasets • Create interactive dashboards and presentations to showcase ROI and performance metrics • Perform deep-dive analysis on user behavior and simulation logs to identify "high-risk" cohorts • Provide tailored recommendations to clients