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Insurance Data Analytics Jobs in Colorado (NOW HIRING)

SumUp

Data Analytics Engineer

Boulder, CO · On-site +1

$100K - $120K/yr

Data Analytics Engineer -- Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship ... insurance * 💼 Financial security: 401(k) retirement scheme with SumUp matching funds * 🌴 ...

SumUp

Data Analytics Engineer

Boulder, CO · On-site

$100K - $120K/yr

Data Analytics Engineer - Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available ... Health and life coverage: group medical coverage, plus life insurance * Financial security: 401(k) ...

SumUp

Data Analytics Engineer

Boulder, CO · On-site +1

$100K - $120K/yr

Data Analytics Engineer - Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available ... Health and life coverage: group medical coverage, plus life insurance * Financial security: 401(k) ...

Eliassen Group

Data Analyst

Greenwood Village, CO · On-site +1

$60 - $70/hr

You will build complex ad hoc and automated reports and analytics that deliver robust insights for ... insurance. Rate: $60.00 to $70.00/hr. w2 JN -052026-106945 Responsibilities: * Expertly use ...

Eliassen Group

Data Analyst

Greenwood Village, CO · On-site +1

$60 - $70/hr

You will build complex ad hoc and automated reports and analytics that deliver robust insights for ... and life insurance. Rate: $60.00 to $70.00/hr. w2 JN -45 Responsibilities: * Expertly use ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

Experience: 1-3 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

Experience: 1-3 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

kgs

Data Analyst I

Denver, CO · On-site +1

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... The Data Analyst I will serve as a key analytical resource supporting federal grant administration ...

Koniag, Inc.

Data Analyst I

Denver, CO · On-site

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... The Data Analyst I will serve as a key analytical resource supporting federal grant administration ...

kgs

Data Analyst I

Denver, CO · On-site +1

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... The Data Analyst I will serve as a key analytical resource supporting federal grant administration ...

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Insurance Data Analytics information

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 Colorado? The most popular types of Insurance Data Analytics jobs in Colorado are:
What are popular job titles related to Insurance Data Analytics jobs in Colorado? For Insurance Data Analytics jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Colorado look for? The top searched job categories for 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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Product Analyst, Commercial Insurance

MGT Insurance

Denver, CO • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
MGT Insurance is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for brokers and small business owners. The Product Analyst, Commercial Insurance supports the Sr. Commercial Product Leader in product development, pricing, and regulatory activities while collaborating with various teams to innovate and enhance commercial insurance products.
Responsibilities:
• Assist in developing and enhancing commercial P&C products across multiple lines of business.
• Support the Sr. Commercial Product Leader in drafting product requirements, preparing product documentation, and coordinating cross-functional workstreams.
• Participate in the research, planning, and evaluation of new product initiatives.
• Conduct data analysis to support pricing, product design, risk segmentation, and rate adequacy.
• Build and maintain analytical models using SQL, Python, R, SAS, or other statistical tools.
• Assist in monitoring product performance, including loss trends, underwriting patterns, and competitive benchmarks.
• Support the development of rating structures and pricing models for new and existing products.
• Assist with state filing activities, including preparing components of filings, compiling exhibits, and supporting responses to regulator questions.
• Help maintain organized documentation and filing artifacts for tracking and compliance.
• Conduct research on competitor forms, rates, rules, and market trends to inform product decisions.
• Support competitive analysis that informs coverage design, pricing, and product positioning.
• Work closely with underwriting, actuarial, claims, compliance, and engineering teams to support product implementation and updates.
• Assist with product testing and validation during system implementations or upgrades.
• Work on projects and initiatives supporting the Sr. Commercial Product Leader across product strategy, enhancement, and modernization efforts.
• Help create dashboards, reports, and insights using tools such as Power BI or other visualization platforms.
• Support documentation, training materials, and product communications.
• Contribute to automation and workflow improvements using AI tools, including OpenAI platforms (a plus).
Qualifications:
Required:
• 3+ years of experience in the insurance industry, including roles in underwriting, claims, product, actuarial support, or data analytics.
• Hands-on experience with SQL, Python, R, SAS, or similar tools.
• Bachelor’s degree required, ideally in Business, Math, Statistics, Economics, Finance, Insurance, Data Science, Actuarial Science, or related fields.
• Strong analytical and quantitative skills; ability to manipulate and interpret data.
• Curiosity and a desire to learn commercial insurance product development.
• Excellent problem-solving skills with attention to detail.
• Effective communication skills, both written and verbal.
• Ability to manage multiple tasks and deadlines in a dynamic, fast-paced environment.
Preferred:
• Experience working in an analytical capacity preferred (pricing, analytics, modeling, or quantitative problem-solving).
• Experience with visualization tools (Power BI preferred).
• Experience with insurance product management or product development processes is a plus.
• Experience working with AI tools (including OpenAI platforms) is a bonus.
• Master’s degree is a plus.
• Insurance certifications (CPCU, AINS, ARM, etc.) are a plus.
• Basic understanding of commercial P&C insurance products, coverage concepts, or rating principles preferred.
Company:
MGT is the first AI neo-insurer: a modern, full-stack carrier built by experienced industry professionals. Founded in 2023, the company is headquartered in Sherman Oaks, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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