1

Director Health Informatics Data Analyst Jobs in Utah

Data Manager

Salt Lake City, UT · On-site

$115K - $160K/yr

Bachelor's degree required (Life Sciences, Statistics, Public Health, Health Informatics, or ... Analyze data and make decisions/recommendations using data to guide decision-making and provide ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Works on quarterly team initiatives, as directed by leadership * Collaborate and knowledge share ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Works on quarterly team initiatives, as directed by leadership * Collaborate and knowledge share ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Works on quarterly team initiatives, as directed by leadership > * Collaborate and knowledge share ...

Accountabilities Reports to the Lead Business Analyst, Lead Project Manager or Director Technical Delivery (where a Lead Business Analyst is not available). May work in conjunction with Testing ...

Senior Data Analyst

Murray, UT · On-site +1

$80.80K - $101.90K/yr

Senior Data Analyst Inside Real Estate is a fast-growing, independently-owned real estate software ... FSAs - healthcare, limited purpose, dependent care * Short-Term Disability - company-paid ...

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

The work you do with our team will directly improve health outcomes by connecting people with the ... direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial ...

Data & Reporting Analyst

Lehi, UT · On-site

$84.48K - $105.60K/yr

At Collective Health, we're transforming how employers and their people engage with their health ... Data Analysis: Perform in-depth data analysis, interpreting complex datasets, identifying trends ...

next page

Showing results 1-20

Director Health Informatics Data Analyst information

What are the key skills and qualifications needed to thrive as a Director Health Informatics Data Analyst, and why are they important?

To thrive as a Director Health Informatics Data Analyst, you need deep expertise in health informatics, data analytics, and healthcare regulations, often supported by an advanced degree in health informatics, information systems, or a related field. Mastery of data management tools (such as SQL, SAS, and Python), electronic health records (EHR) systems, and certifications like Certified Health Data Analyst (CHDA) are typically required. Exceptional leadership, strategic thinking, and communication skills help in managing teams and collaborating across departments. These combined skills ensure effective data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

How does a Director Health Informatics Data Analyst typically collaborate with clinical and IT teams to drive healthcare data initiatives?

A Director Health Informatics Data Analyst often serves as a bridge between clinical staff and IT departments, facilitating clear communication about data needs and system capabilities. They work closely with clinicians to understand workflow challenges and identify opportunities where data analysis can improve patient outcomes. At the same time, they collaborate with IT specialists to implement and optimize data systems, ensuring that health informatics tools are user-friendly and compliant with healthcare regulations. This cross-functional teamwork is essential for translating raw data into actionable insights that support clinical decision-making and organizational goals.

What does a Director Health Informatics Data Analyst do?

A Director Health Informatics Data Analyst oversees the collection, management, and analysis of healthcare data to improve patient outcomes, operational efficiency, and regulatory compliance. They lead teams of data analysts, collaborate with clinical and IT staff, and ensure that data systems support organizational goals. Their responsibilities often include developing data-driven strategies, ensuring data quality, and presenting insights to executive leadership for decision-making. The role requires a blend of technical expertise, leadership skills, and a deep understanding of healthcare operations.

What is the difference between Director Health Informatics Data Analyst vs Health Informatics Data Analyst?

AspectDirector Health Informatics Data AnalystHealth Informatics Data Analyst
ResponsibilitiesOversees data strategies, manages teams, and aligns projects with organizational goalsAnalyzes healthcare data, develops reports, and supports decision-making
Required SkillsLeadership, project management, advanced data analysisData analysis, technical skills, healthcare knowledge
CertificationsCertified Health Data Analyst (CHDA), project management certificationsCHDA, health informatics certifications
Work EnvironmentHealthcare organizations, hospitals, health systemsHealthcare settings, clinics, health IT departments

The main difference is that the Director Health Informatics Data Analyst holds a leadership role, overseeing teams and strategic initiatives, while the Health Informatics Data Analyst focuses on data analysis and reporting. Both roles require healthcare data expertise and relevant certifications, but the director position involves higher-level management responsibilities.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Utah? The most popular types of Health Informatics Data Analyst jobs in Utah are:
What are popular job titles related to Director Health Informatics Data Analyst jobs in Utah? For Director Health Informatics Data Analyst jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Director Health Informatics Data Analyst jobs? Cities in Utah with the most Director Health Informatics Data Analyst job openings:

Health Informatics Analyst

Alignerr

Salt Lake City, UT • Remote

Full-time

Posted 10 days ago


Job description

Health Informatics Analyst (AI Training)We're looking for experienced Health Informatics Analysts to help train and evaluate AI systems on healthcare data, clinical workflows, and health information systems. Your domain expertise will directly shape how AI understands and reasons about one of the most complex and impactful fields in the world. This is a unique opportunity to apply your healthcare and data skills to cutting-edge AI development — working flexibly and remotely on your own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoAnalyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows for accuracy and qualityReview and annotate healthcare datasets, flagging errors, inconsistencies, or clinically inaccurate informationAssess AI responses involving health information systems, data pipelines, and reporting toolsProvide structured, expert feedback to improve how AI models reason about clinical and operational healthcare scenariosWork independently and asynchronously on task-based assignmentsWho You AreHands-on experience with healthcare data, electronic health records (EHR), or clinical information systemsStrong analytical skills including data interpretation, trend analysis, and reportingComfortable evaluating the accuracy and quality of health informatics content at scaleAbility to communicate findings clearly in structured written formatsDetail-oriented and self-motivated with the ability to work independentlyNice to HaveExperience with data annotation, data quality assurance, or evaluation workflowsFamiliarity with clinical reporting platforms or health IT standards (e.g., HL7, FHIR)Background in clinical, public health, or health administration settingsWhy Join UsWork on cutting-edge AI projects in partnership with world-leading research labsFully remote and flexible — work on your own scheduleFreelance perks: autonomy, variety, and global collaborationContribute to meaningful work that shapes how AI understands healthcareExposure to advanced large language models (LLMs) and how they're trainedPotential for ongoing work and contract extensionJ-18808-Ljbffr