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Insurance Data Analytics Jobs in Utah (NOW HIRING)

Filevine

Manager, Data Analytics

Salt Lake City, UT · On-site

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Filevine

Manager, Data Analytics

Salt Lake City, UT · On-site

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Filevine

Manager, Data Analytics

Salt Lake City, UT · On-site

Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ... Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity ...

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 8/18 ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

Zions Bank

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

This Financial Data Analytics Manager will own the strategy, delivery, modernization, and reliable ... Medical, Dental and Vision Insurance - START DAY ONE! * Life and Disability Insurance, Paid ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

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

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

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How much do insurance data analytics jobs pay per hour?

As of Aug 27, 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 is insurance data analytics?

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 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.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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.

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 examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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 job categories do people searching Insurance Data Analytics jobs in Utah look for?

The top searched job categories for 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:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.

Manager, Data Analytics

Salt Lake City, UT • On-site

Filevine
Software Development • 11 - 50 employees
Learn more about Filevineexternal

Full-time

Medical, Dental, Vision

Posted 6 days ago

Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Overview
The Manager of Data Analytics will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders.
Responsibilities:
  • Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights.
  • Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting.
  • Manage and mentor data analysts, supporting their technical growth and fostering a culture of accuracy, accountability, and continuous improvement.
  • Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.
  • Conduct complex analyses that inform strategic priorities and operational decisions.
  • Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems.
  • Ensure data integrity, consistency, and precision across all reporting outputs.
  • Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.
  • Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights.
  • Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals.

Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field.
  • 4-6+ years of experience in data analytics or business intelligence, with experience leading or mentoring junior analysts/projects.
  • Demonstrated ability to guide projects and support team development.
  • Expertise in SQL and hands-on experience working with large, complex data environments.
  • Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).
  • Solid understanding of Salesforce data structures and data integration practices.
  • Familiarity with SaaS business models and key financial metrics.
  • Strong communication skills with the ability to effectively present insights to senior stakeholders.
  • High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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