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Insurance Data Analytics Jobs in Denver, CO (NOW HIRING)

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Position Summary Reporting to the Engineering Program Director, the Data Analytics and Operations ... under insured. Our services include coordination of timely medical care, access to local high ...

The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for ... Full benefits including health care, paid time off, life insurance, and 401k plan with company ...

... Analytics, Operations Research, Finance, Engineering, etc. ALTERNATE EXPERIENCE General comment on ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Data Analyst

Greenwood Village, CO · Remote

$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 ...

Experience: 2-4 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Experience: 2-4 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Experience: 5-7 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Senior Strategic Sourcing Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Experience: 5-7 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

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

Data Analyst I

Englewood, CO · Hybrid

$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

$114K - $137K/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 · On-site

$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.

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Showing results 1-20

Insurance Data Analytics information

See Denver, CO salary details

$25

$56

$97

How much do insurance data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for insurance data analytics in Denver, CO is $56.35, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $63.85 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 Denver, CO?

The most popular types of Insurance Data Analytics jobs in Denver, CO are:

What job categories do people searching Insurance Data Analytics jobs in Denver, CO look for?

The top searched job categories for Insurance Data Analytics jobs in Denver, CO are:

What cities near Denver, CO are hiring for Insurance Data Analytics jobs?

Cities near Denver, CO with the most Insurance Data Analytics job openings:

Infographic showing various Insurance Data Analytics job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 21% Part Time, and 7% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $117,207 per year, or $56.3 per hour.

Data Analytics & Operations Engineer

Greenwood Village, CO • Remote

Marrick Medical
Insurance Services • 201 - 500 employees

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

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Job description

In the last 15 years, Marrick Medical has given over 65,000 uninsured and underinsured personal injury victims access to healthcare providers, so they can prioritize healing and recovery. Marrick has been recognized as one of the Best Workplaces in America by Inc. for 2021.

Position Summary

Reporting to the Engineering Program Director, the Data Analytics and Operations Engineer is responsible for maintaining and supporting the organization's analytics ecosystem, including data pipelines, data warehouse models, reporting infrastructure, and business intelligence solutions.

This is a hands-on, service-oriented role that combines analytics engineering, business intelligence, operational support, documentation, and stakeholder collaboration responsibilities. The position is best suited for someone who enjoys broad ownership, practical problem solving, and supporting a wide range of business needs within an established operating environment.

As the organization continues to explore AI-enabled capabilities, this role will also support efforts to improve and prepare data assets for automation, machine learning, and agentic workflow initiatives by ensuring underlying data structures are usable, consistent, and operationally sustainable.

Key Responsibilities

Required

  • 4+ years of experience in analytics engineering, data engineering, business intelligence, analytics, or related fields.
  • Strong understanding of data warehousing, dimensional modeling, and semantic-layer concepts.
  • Experience building and maintaining ELT/ETL pipelines.
  • Strong SQL and data modeling skills.
  • Experience working within software engineering workflows and source control processes.
  • Strong communication, documentation, and stakeholder management skills.
  • Technical: Dbt | Amazon Redshift | Amazon QuickSight | AWS | Python | GitHub | Docker | SQL

Preferred

  • CI/CD workflows
  • Data governance practices
  • Healthcare, finance, or regulated-industry experience

Daily Functions

Analytics & Data Operations

  • Monitor and support daily ELT pipelines and reporting processes.
  • Design, document, and implement updates to data warehouse models as source systems evolve.
  • Design, document, and maintain semantic-layer and business intelligence data models.
  • Support month-end reporting and other recurring business processes.
  • Improve, standardize, and prepare data assets to support emerging AI and automation initiatives.
  • Design and implement data transformations that improve data quality, consistency, accessibility, and usability for downstream analytics and AI-driven workflows.
  • Troubleshoot data issues and support analytics-related requests across the organization.
  • Serve as the primary technical resource for analytics infrastructure and reporting systems.
  • Prepare and report on internal departmental metrics and analytics.
  • Support leadership requests related to reporting, analysis, and data-driven initiatives.

Role Fit & Overview

You will likely thrive in this role if you:

  • Can effectively pivot, maintain momentum, and manage competing priorities.
  • Prefer pragmatic problem solving and incremental improvements over large-scale platform redesigns.
  • Have a service-oriented mindset and are comfortable operating within established organizational priorities, processes, and technical direction.
  • Are interested in helping prepare and improve data assets for AI-enabled workflows and automation initiatives, while recognizing that AI strategy, product direction, and organizational priorities will be determined elsewhere.

Company Description

Marrick is a growing medical access health care company providing healthcare solutions for patients who have been involved in collisions and are uninsured or under insured. Our services include coordination of timely medical care, access to local high-quality doctors and patient advocacy. Marrick has been recognized as one of the Best Workplaces in America by Inc. for 2021.