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Senior Insurance Data Analytics Jobs in Utah (NOW HIRING)

Imh

Data Analyst Technical Senior

Murray, UT · On-site

$44 - $69.85/hr

This role involves initiating the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Senior, you will act in a more senior capacity, contributing to ...

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Bamboo Insurance

Senior Business Analyst

Midvale, UT · Remote

$115K/yr

As a Senior Insurance Business Analyst, you will lead the analysis of complex business processes and requirements across the homeowners product lifecycle, partnering directly with Product Owners ...

Cotiviti

Senior Manager Analytics

South Jordan, UT · On-site +1

$201K/yr

Manage a team of Data and Insight Analysts, including responsibility for their training and ... insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation * Develop, optimize, and maintain ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation * Develop, optimize, and maintain ...

Imh

$49.24 - $77.53/hr

Excellent verbal, written, and interpersonal communication skills, with experience presenting to senior leadership. * Extensive knowledge of healthcare data analytics and industry trends. * Proven ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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All JobsInsurance Data Analytics JobsSenior Insurance Data Analytics JobsSenior Insurance Data Analytics Jobs in Utah

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What are the most commonly searched types of Insurance Data Analytics jobs in Utah? The most popular types of Insurance Data Analytics jobs in Utah are:
What cities in Utah are hiring for Senior Insurance Data Analytics jobs? Cities in Utah with the most Senior Insurance Data Analytics job openings:
Senior Insurance Data Analytics jobs near you

Senior Business Analyst - Data Analytics

Utah Division of Human Resource Management

Taylorsville, UT • Hybrid

$83K - $104K/yr

Other

Posted 13 days ago

Job description

Key responsibilities and day to day responsibilities of this position:

  • Develop reports, briefs, dashboards, and data extracts related to child support and Medicaid recovery to support department operations, legislative requirements, executive leadership, and external partner needs using government, public, and industry data sources.
  • Design, develop, maintain, and optimize SQL-based data extracts, reporting solutions, analytical datasets, and automated reporting processes to support operational, research, evaluation, and decision-making activities.
  • Monitor, evaluate, audit, and review operations, programs, processes, systems, and reporting practices for quality, accuracy, effectiveness, compliance, and completeness; identify operational issues or potential problem areas and recommend data-driven solutions and process improvements.
  • Provide analytical guidance, research support, feasibility analysis, and strategic recommendations to internal and external stakeholders, including presenting findings, responding to legislative and public inquiries, and translating technical information into business terms for cross-functional audiences.
  • Assist with data quality reviews, query Management, data validation, quality control processes, and reporting integrity efforts to ensure accuracy, consistency, reliability, and compliance with agency standards and reporting requirements.
  • Ensure compliance with applicable laws, regulations, policies, procedures, reporting requirements, and data protection standards related to data governance, reporting practices, and the handling of sensitive or regulated information.
  • Recommend, adapt, design, and enhance automated systems, reporting solutions, and user-level system improvements to better support agency operations, complex business needs, and integration with existing systems.
  • Plan, coordinate, and support projects, programs, reporting initiatives, and operational improvement efforts by developing project documentation, recommendations, findings, and implementation support materials.
  • Work collaboratively with team members, leadership, technical staff, and stakeholders to support department initiatives, operational goals, and continuous process improvement efforts.

Position qualifies for Hybrid work schedule after probationary period.

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