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Insurance Data Analytics Jobs in Utah (NOW HIRING)

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics ... Company-paid life insurance * Company-paid short-term and long-term disability * Access to mental ...

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

Collaborate with cross-functional teams to translate business needs into analytics solutions ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

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 ...

... dashboards and analytics that drive real business results. Requirements What You'll Bring ... Medical, Dental, Vision, Life & Disability Insurance * 401(k) with Company Match * Paid Time Off ...

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 ...

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

Facility Data Analyst

Salt Lake City, UT · On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting ... Harris Benefits + Compensation Medical, dental, vision, and life insurance 401K with company match ...

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Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Jul 15, 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?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 cities in Utah are hiring for Insurance Data Analytics jobs? Cities in Utah with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Utah as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.
Sentinel Manager Data Analytics 2 - 19062

Sentinel Manager Data Analytics 2 - 19062

Northrop Grumman Corporation

Roy, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

107th of 527 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Defense Systems is seeking an Data Analytics Manager 2. This position is located in Roy, UT.

What You'll Get To Do:

This position is a dual-hat position requiring the candidate to perform functional management activities as well as technical responsibilities on the program.
It is expected that the Functional management role will comprise approximately 20% of the candidate's time

  • Responsible for assessing staffing needs, current as well as projected and working with the respective team leads to address those needs.
  • Responsible for supporting recruitment activities including the creation of requisitions, conducting interviews, and approving offers.
  • Work with program leaders in establishing personal, program, and functional goals as well as performing performance evaluations and merit adjustments for subordinates.
  • Provide subordinates with career development recommendations, mentoring, discipline, as necessary.
  • Generate training plans based on the program and subordinates' needs.

It is also expected that the technical role will comprise approximately 80% of the candidate's time. Technical duties to include, but are not limited to the following:

  • Data visualization - Make the visualization of large datasets accessible to non-engineers
  • Data Transformation - Work with Data Scientists to develop software to interpret data relationships and ontologies
  • Develop software for analytics tools used for analysis of complex statistical and machine learning models to build predictive and prescriptive strategies.
  • Interface with requirements and deriving design from requirements in a model based systems engineering environment
  • Derive and allocate requirements into detailed design
  • Designs, develops and tests displays, controls and functionality
  • Designs, develops and tests simulation software for use in data analysis
  • Design and develop artificial intelligence algorithms to enable data analysis
  • Develops and maintains databases used to store complex data and data relationships
  • Collaborates with Systems and Quality Engineers to ensure software requirements are met and develop Digital Transformation Dashboards and other software solutions
  • Performs software peer reviews, version control, automated tests, software analysis, continuous integration, and continuous delivery in accordance with DevSecOps processes and best practices

As a full-􀆟me employee of Northrop Grumman, you are eligible for our robust benefits package including:

  • Medical, Dental & Vision coverage
  • 401k
  • Educational Assistance
  • Life Insurance
  • Employee Assistance Programs & Work/Life Solution
  • Paid Time Off
  • Health & Wellness Resources
  • Employee Discounts

This positions standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This position may offer a competitive relocation package.

You'll Bring These Qualifications:

  • Bachelor's degree and 8 years of relevant experience, 6 years with a Masters or an additional 4 years of experience in lieu of a degree.
  • Must be a US Citizen with an active DoD Secret Clearance with an investigation date within the last 6 years
  • Must be able to obtain and maintain a Special Program Access within a period of time, that meets current business needs
  • Experience developing semantic data ontologies.
  • Experience with statistics, including sampling techniques, survey design, and precision measures.
  • Experienced in programming languages, statistical packages, and computer-based data systems.
  • Experience working with large datasets.

These Qualifications Would be Nice to Have:

  • Ability to provide technical guidance on data design, collection, and statistical analysis.
  • Strong written and oral communication skills for reports, presentations, and documentation.
  • Leadership skills to support management, peers, and customers in data science best practices.
  • Ability to work independently towards long-range goals and objectives.
  • Initiative in determining and pursuing effective courses of action.
  • Experience in developing and guiding advanced technological ideas into final products.
Primary Level Salary Range: $126,600.00 - $189,800.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939