Data Analyst

• Conduct collision scene investigations
• Conduct vehicle examinations
• Analyze physical evidence, vehicle damage, roadway conditions, photographs, and electronic data
• Download, collect, and interpret Event Data Recorder (EDR) data
• Obtain and analyze Vehicle Sampling Evidence
• Analyze and interpret evidence and data to render an expert opinion pertaining to damage and to confirm or dispute a claim
• Work independently and manage assignments from intake through final reporting
• Maintain professional documentation and chain of custody standards
• Present findings in the courtroom as an expert

Collision Data Analyst

• Assist in analyzing medical and pharmacy claims data to identify trends, cost drivers, and opportunities for optimization.
• Support provider contracting and payer teams by pulling and summarizing data on reimbursement models, pricing structures, and fee schedules.
• Assist in building and maintaining financial models to assess payer performance, reimbursement strategies, and cost containment opportunities.
• Collaborate with sales and contracting teams to deliver ad hoc data pulls and reports that support growth initiatives.
• Work with Medicare, Medicaid, and commercial claims data to support tracking reimbursement trends and regulatory changes.
• Build and maintain reports and dashboards using SQL, Power BI, or Tableau to visualize key business metrics.
• Support evaluation of the financial impact of alternative payment models, value-based care initiatives, and provider incentives.
• Perform quality checks to ensure data integrity and accuracy in claims analysis.
• Partner with internal teams to support claims processing workflows, payment accuracy, and operational efficiencies.

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Write and optimize complex SQL queries in BigQuery to extract, clean, and model data for reporting.
• Design, build, and maintain high-performance automated dashboards in Tableau.
• Interface with Airflow to monitor data workflows and ensure reporting accuracy and freshness.
• Partner with business leaders to define KPIs and present findings that drive departmental strategy.
• Assist in the potential migration or implementation of Looker for self-service analytics.

Analyst II, Analytics

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• 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.

Senior Data Analyst, Technical

• Support the development and deployment of data analytics
• Collaborate with business and clinical leaders to provide data insights
• Ensure data applications are maintained and used effectively
• Develop and deliver meaningful information through data exploration and reporting
• Communicate analytic findings to both technical and business executives
• Provide analytic work demonstrations and hands-on training for customers
• Augment technical skillset through participation in educational offerings

Data Analyst – Technical Staff

• This role involves leading the development and deployment of data analytics at Intermountain Health.
• As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical standards, and operational goals through data insights.
• Reporting to senior leaders in Digital Technology Services (DTS), you will collaborate with business and clinical leaders across Intermountain Health.
• The team ensures data applications are maintained, monitored, promoted, and used effectively.
• Provides expert support for management level leadership in a business or clinical area.
• Develops a comprehensive understanding of customer data and business/clinical operations they support.
• Fulfills high-level customer requests through data exploration, report development, and visual storytelling.
• Independently provides project updates and communicates analytic findings to their customers.
• Leads and mentors others in analytic work demonstrations and hands-on training for customers to promote understanding and independent consumption of analytic work.
• Continuously enhances their technical skillset through individual learning and participation in Intermountain analytic community educational offerings, guided by their leader.

Data Analyst – Technical Consultant

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Serve as the primary analytics partner for Marketing, supporting both Conference and Membership business lines
• Develop and maintain reporting frameworks for marketing campaign performance across channels
• Analyze marketing effectiveness and provide actionable recommendations to improve acquisition, engagement, and retention outcomes
• Measure campaign ROI and support data-driven budget allocation decisions
• Establish standardized marketing KPI definitions and reporting methodologies
• Develop and maintain marketing attribution frameworks across Conference and Membership initiatives
• Analyze acquisition channels, conversion funnels, and customer journeys to identify opportunities for optimization
• Support conference registration reporting and performance measurement
• Analyze subscriber acquisition, activation, retention, and lifetime value metrics
• Design and maintain executive dashboards that provide visibility into marketing performance and business outcomes

Senior Data Analyst, Marketing Analytics

• Perform quality audits and reviews of all data submitted by the IDT teams in Care Compass
• Complete quality validation calls to participants, providers, and home care agencies to confirm that all services requested were received
• Capture and modify any data missing by the PACE staff and communicate key updates
• Maintain accurate records of all scheduled appointments and ensure compliance with regulatory requirements
• Inspect participant’s requests submitted by IDT and ensure deliverables are received
• Provide analysis reports of data information to management and prepare recommendations for review

Data Quality Analyst

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Perform deep-dive analyses across diverse data sources to identify trends, patterns, and opportunities.
• Write and optimize custom SQL queries to extract, transform, and analyze data.
• Use advanced Excel techniques (pivot tables, formulas, data modeling) to explore and visualize findings.
• Create user-friendly Tableau reporting to illuminate critical business insights, analysis, and recommendations for senior stakeholders.
• Proactively identify gaps, anomalies, and emerging patterns that may impact business performance.
• Partner with cross-functional teams to support strategic and operational decision-making.

• Lead, mentor, and develop a team of analysts, including performance management, coaching, and development planning.
• Define and execute the strategic vision for People Analytics, reporting, data governance, and data management within Human Resources.
• Deliver high quality dashboards, reports, and advanced analyses using statistical methods, modeling, and predictive techniques to generate actionable workforce insights.
• Lead the evolution of people analytics from descriptive reporting to diagnostic and predictive insights that inform workforce strategy and business outcomes.
• Operate as a strategic advisor to HR and business leaders by translating workforce challenges into analytics solutions and actionable recommendations.
• Partner with HR leadership and stakeholders to identify analytics priorities and align work to strategic business needs.
• Establish, monitor, and standardize key workforce metrics and KPIs to support executive decision making.
• Translate complex analytical outputs into clear, compelling insights and executive level presentations.
• Oversee data management practices, including data quality, integrity, accessibility, and lifecycle management.
• Supervise data security activities, including access controls, data handling practices, and adherence to privacy and protection requirements.
• Ensure compliance with organizational data governance, privacy, and security standards.
• Serve as a data steward and represent HR in governance councils, ensuring adherence to data management, security, and governance standards.
• Lead cross functional data initiatives, including negotiating data sharing and improving data accessibility.
• Promote data literacy by enabling leaders to effectively interpret, use, and apply analytics and reporting.
• Collaborate with global partners to support international reporting needs while ensuring compliance with data privacy and protection requirements.
• Partner with IT and security teams to ensure appropriate controls, risk mitigation, and alignment with enterprise data security policies.
• Champion continuous improvement in analytics tools, processes, and capabilities.

HR Data and Analytics Manager

• 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.
• Providing advanced support for management level leadership in a business or clinical area.
• Developing a deep understanding of customer data and business/clinical operations they support.
• Fulfilling complex customer requests through data exploration, report development, and visual storytelling.
• Communicating analytic findings to their customers and providing project updates.
• Leading analytic work demonstrations and hands-on training for customers.
• Staying updated on industry trends and advancements.

Senior Data Analyst

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Data Analyst jobs in Utah

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Collision Data Analyst

Data Analyst

Online Data Analytics Eco Representative

Analyst II, Analytics

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

Senior Data Analyst, Technical

Data Analyst – Technical Staff

Data Analyst – Technical Consultant

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Senior Data Analyst, Marketing Analytics

Data Quality Analyst

Senior Director, Enterprise Data, Analytics, AI & Automation

Market Research Data Analyst

Data Analyst

HR Data and Analytics Manager

Senior Data Analyst

Data Analyst

Data Analyst

Junior Data Analyst