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

Translate data into actionable insights, strategies, and root cause analysis * Develop, maintain ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Translate data into actionable insights, strategies, and root cause analysis * Develop, maintain ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

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

Translate data into actionable insights, strategies, and root cause analysis * Develop, maintain ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Showing results 41-60

Insurance Data Analytics information

See Denver, CO salary details

$25

$56

$97

How much do insurance data analytics jobs pay per hour?

As of Aug 27, 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 are popular job titles related to Insurance Data Analytics jobs in Denver, CO?

For Insurance Data Analytics jobs in Denver, CO, the most frequently searched job titles 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 Scientist / Software Engineer

Aurora, CO • On-site

Cymertek
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Data Scientist / Software Engineer
LOCATION
Aurora, CO 80014
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a passionate and innovative Data Scientist / Software Engineer to join our team and help drive the development of data-driven software solutions. In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the scalability and reliability of the software. The ideal candidate will thrive in a collaborative environment, using their problem-solving skills to create impactful solutions that enhance business processes and decision-making. If you are eager to work on cutting-edge technology in a dynamic and growing field, we encourage you to apply and be part of our forward-thinking team.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Software Engineering, Artificial Intelligence, Applied Mathematics, Statistics, Information Technology, Computational Science, Electrical Engineering, Machine Learning, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and implement data-driven applications
  • Analyze and interpret complex datasets
  • Build and optimize machine learning models
  • Develop and maintain data pipelines and workflows
  • Collaborate with teams to translate data insights into actionable solutions
  • Document and present analytical results effectively

REQUIRED SKILLS
  • Proficiency in Python or R
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of data visualization tools (e.g., Tableau, Matplotlib)
  • Understanding of SQL and database management systems
  • Familiarity with data cleaning and preprocessing techniques
  • Ability to implement end-to-end data science solutions

DESIRED SKILLS
  • Familiarity with cloud platforms for data analytics (e.g., AWS, GCP)
  • Knowledge of big data technologies (e.g., Hadoop, Spark)
  • Experience with natural language processing
  • Understanding of advanced statistical and mathematical modeling
  • Familiarity with real-time data streaming tools
  • Ability to integrate predictive models into production systems

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.