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Insurance Data Analytics Jobs in Colorado (NOW HIRING)

Data Analyst I

Englewood, CO · On-site

$65K - $75K/yr

Company Details At Verus Specialty Insurance, a proud member of the esteemed W.R. Berkley ... data from internal and external sources to provide insight to analysts and decision makers.

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

Provide data analytics report development for specific projects as needed. * Develop data ... Insured group health, dental, and vison plans (Employer covers 100% of the cost for dental and ...

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.

Senior Pharmacy Data Analyst

Denver, CO · On-site

$125K - $140K/yr

Lead pharmacy analytics workstreams from data intake through insight delivery and stakeholder ... Employer-paid Life Insurance, Short Term Disability, Long Term Disability * Charitable contribution ...

Sr. Data Analyst Denver, CO

Denver, CO · On-site

$85.50 - $104/hr

Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance programs ... The associate's primary focus will be supporting and advancing initiatives across analytics and ...

New

Building and maintaining custom data analytics to automate and scale signals analysis * Experience ... Additional Voluntary Life Insurance Coverage Available * Employee Assistance Program * Travel ...

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

Building and maintaining custom data analytics to automate and scale signals analysis * Experience ... Additional Voluntary Life Insurance Coverage Available * Employee Assistance Program * Travel ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Our insurance, retirement, and investment solutions help people make the most of what's important ... Work collaboratively with other engineers, data scientists, analytics teams, and business product ...

Showing results 41-60

Insurance Data Analytics information

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 Colorado?

The most popular types of Insurance Data Analytics jobs in Colorado are:

What cities in Colorado are hiring for Insurance Data Analytics jobs?

Cities in Colorado with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Analyst I

Berkley

Englewood, CO • On-site

$65K - $75K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Company Details
At Verus Specialty Insurance, a proud member of the esteemed W.R. Berkley Corporation (NYSE: WRB), we stand as a leading Excess and Surplus Lines provider delivering comprehensive solutions across the United States. Backed by the formidable strength of a Fortune 500 titan and operating with the agility of a nimble startup, we blend the best of both worlds to foster innovation and excellence in everything we do.
Our nationwide operations are supported by a robust network of select wholesale producers, ensuring that our reach and capabilities are always close at hand. We are driven by a forward-thinking leadership that champions a dynamic culture where questioning the norm is not just welcomed but expected. This ethos empowers our team to consistently surpass customer expectations and drive the industry forward.
At Verus, we are more than just a company; we are a community that thrives on collaboration, growth, and taking ownership of our actions. We are constantly on the lookout for exceptional talent who are eager to contribute, innovate, and grow with us. If you are passionate about making a mark in the insurance industry and align with our vision, we eagerly await your application. Join us and be a part of a team where your contributions are valued, and your potential fully realized!
The Company is an equal employment opportunity employer.
https://www.verusins.com/
Responsibilities
To support the underwriting function by inputting information quickly and accurately from a variety of sources including incoming applications into Verus core systems and setting them up in the workflow, providing excellent customer service.
Key Functions/Duties of Position:
  • Develop queries and reports for actuarial department and executive team as requested.
  • Strong knowledge of internal data systems in order to be a relied upon resource for data-driven changes or problems across the organization.
  • Help manage transition from legacy systems into more efficient systems and solutions.
  • Identify and analyze information needs and flow for design, development, and maintenance.
  • Construct reports within Microsoft Excel and Power BI that aid Underwriting in making correct strategic decisions in reaching profitability and growth goals.
  • Develop and maintain Financial Planning, Budgeting, and Forecasting visuals.
  • Analyzes complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers.

Qualifications
  • 2+ years of experience in a data-related role with working knowledge of information systems.
  • Bachelor's degree in a related field (mathematics, business, finance, technical).
  • Required: Strong knowledge of MS Office tools (Excel, Outlook, Word, PowerPoint).
  • Required: Strong knowledge of VBA.
  • Required: Strong knowledge of SQL.
  • Preferred: Intermediate knowledge of Power BI.
  • Preferred: Knowledge of the insurance industry and IT systems.
  • Preferred: Intermediate knowledge of R and Python.
  • Ability to adapt.
  • Strong problem solving and communication skills.
  • Strong organization skills and ability to multitask and prioritize multiple tasks at once.
  • Ability to work outside normal work schedule to fulfill responsibilities.
  • Ability to travel on an occasional basis.
  • Reasonable, regular, and predictable attendance.

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Additional Company Details
We do not accept any unsolicited resumes from external recruiting firms.
The company offers a competitive compensation plan and robust benefits package for full-time regular employees which for this role includes:
Base Salary Range: $65,000 - $75,000
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Eligible to participate in the annual discretionary bonus program
Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.
Additional Requirements
The application window for this role is estimated to be open through August 31, 2026, but may be extended, if necessary. Please submit your application as soon as possible prior to August 31, 2026.
Sponsorship Details
Sponsorship not Offered for this Role