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Insurance Data Analytics Jobs in Utah (NOW HIRING)

Strong understanding of data analytics, data mining, and pattern recognition. * Experience working ... Dental Insurance * Vision Insurance * Life Insurance * 401k with employer match * Competitive ...

Strong understanding of data analytics, data mining, and pattern recognition. * Experience working ... Dental Insurance * Vision Insurance * Life Insurance * 401k with employer match * Competitive ...

Supports Internal Audit by providing data extracts, performing control-testing analytics, and ... Understanding of insurance products, policies, and services Physical Requirements: * Prolonged ...

Data Warehouse Analytics Specialist

Sandy, UT ยท On-site

$17 - $21.75/hr

Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development opportunities * Long-term career growth in analytics, data warehousing, semantic modeling, data governance ...

Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development opportunities * Long-term career growth in analytics, data warehousing, semantic modeling, data governance ...

Senior Data Analyst

Murray, UT ยท On-site +1

$80K - $101K/yr

... predictive analytics to join our team. The ideal candidate will combine strong statistical ... Basic Employee Life Insurance - company-paid * Voluntary Dependent Life Insurance * Voluntary ...

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Role Purpose ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

BI - Senior Data Analyst

Orem, UT ยท On-site

$70K - $80K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Health/Vision/Dental Insurance * 401(k) * Paid time off and paid holidays * Paid birthday off

BI - Senior Data Analyst

Orem, UT ยท On-site

$74K - $94K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Health/Vision/Dental Insurance * 401(k) * Paid time off and paid holidays * Paid birthday off

This role thrives in ambiguity and the space between what the data shows and what it means. This is ... Competitive compensation (DOE) * 100% paid health, dental, and basic life insurance premiums ...

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * Hybrid work model ...

Data Engineer

Lehi, UT ยท On-site +1

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * Hybrid work model ...

Data Engineer

Lehi, UT ยท On-site +1

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * Hybrid work model ...

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Insurance Data Analytics information

See Utah salary details

$22

$49

$86

How much do insurance data analytics jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for insurance data analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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 are popular job titles related to Insurance Data Analytics jobs in Utah? For Insurance Data Analytics jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Insurance Data Analytics jobs? Cities in Utah with the most Insurance Data Analytics job openings:
Business Data Analyst

Business Data Analyst

TCN

Saint George, UT โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Position: Business Data Analyst
Location: St. George, Utah (No remote)
TCN is seeking an innovative and driven individual to join our team as a Business Data Analyst. As a key player in shaping the future of our BI offerings, you'll help drive excellence in data strategy, product innovation, and client success. This is a unique opportunity for an experienced professional passionate about data insights, analytics, and visualization tools to contribute significantly to TCN's growth.
Role Overview:
As a Business Data Analyst working with TCN's Business Intelligence (BI) team, you will help ensure the quality and functionality of TCN's BI tools and features. Working under the guidance of the Senior Vice President of Revenue Enhancement and Product, you will assist clients in understanding their needs, providing data analysis, and offering consultation. Your role will involve developing user-friendly dashboards and best practice recommendations that enhance the effectiveness of TCN's services. In this capacity, you will support BI revenue growth and contribute to the ongoing development of TCN's BI product strategy.
Key Responsibilities:
  • QA and Product Release Monitoring: Play a crucial role in quality assurance testing for all BI features and product releases, ensuring the highest standards for functionality, reliability, and user experience.
  • Documentation and Training: Help create detailed documentation and training materials to support internal teams and clients using TCN's BI tools.
  • Insight Development: Create actionable insights and dashboards that follow best practices, delivering rapid value with minimal effort required for configuration or personalization. These solutions will highlight key metrics and trends across TCN services, enabling clients to make informed, data-driven decisions quickly and efficiently.
  • Client Consultation: Partner with clients to understand their business challenges, identify applicable datasets for analysis, and develop custom BI solutions that address their specific needs.
  • Revenue Growth and Client Engagement: Actively contribute to growing TCN's BI revenue and expanding the client base by showcasing the value of our BI tools and services in optimizing call center operations.

Qualifications:
  • Bachelor's degree or equivalent work experience in Business Intelligence, Data Science, or a related field.
  • 2 to 4 years of experience in BI, data analysis, call center customer service, or a similar role.
  • Proven experience with relational databases, data visualization tools, and BI platforms.
  • Strong understanding of data analytics, data mining, and pattern recognition.
  • Experience working in customer-facing roles, providing insights, solutions, and consultations.
  • Excellent communication skills with the ability to translate complex data into actionable insights.
  • Strong attention to detail and problem-solving skills with a proactive attitud

Competencies:
  • Customer/client orientation: Deep understanding of customer needs and the ability to tailor solutions to meet their specific requirements.
  • Interpersonal skills: Ability to build relationships and communicate effectively with clients and internal teams.
  • Originality: Skilled in approaching challenges creatively and finding new ways to leverage data for actionable results.

About TCN:
TCN is a rapidly growing technology company, offering cloud-based contact center solutions through its proprietary software-as-a-service model. Our BI tools play a pivotal role in helping clients visualize data and optimize their operations. If you thrive in a collaborative, forward-thinking environment and are excited about the power of data, TCN offers a unique opportunity to make a meaningful impact. Join us and drive innovation at the intersection of data strategy and contact center operations.
Our benefits include:
  • Medical Insurance (HDHP with HSA)
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • 401k with employer match
  • Competitive salary
  • Paid time off
  • Paid holidays (11 scheduled)
  • Weekly lunches; free drinks and snacks
  • Casual dress and flexible work environment

Apply today and become part of a dynamic team dedicated to transforming how businesses leverage data.