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

Renewal by Andersen

Claims and Risk Analyst

Denver, CO · On-site

$30/hr

Associate in Insurance Data Analytics (AIDA) - or willingness to pursue certification. - Experience communicating with all levels in an organization. Benefits - Medical, Dental, and Vision Insurance ...

SumUp

Data Analytics Engineer - Boulder, Colorado

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) ...

Cymertek

Data Analyst

Aurora, CO · On-site

... 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 ...

Eliassen Group

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 ...

Strive Health

Manager, Analytics

Denver, CO · On-site

$99K - $124K/yr

Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance programs ... Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Predictive Analytics : Utilize statistical modeling and machine learning techniques to forecast ... Employer Paid Basic Life Insurance and AD&D * Voluntary Life Insurance (Employee/Spouse/Child)

Modivcare, Inc.

Data Insights Analyst II

Denver, CO · On-site

$67K - $86K/yr

Predictive Analytics : Utilize statistical modeling and machine learning techniques to forecast ... Employer Paid Basic Life Insurance and AD&D * Voluntary Life Insurance (Employee/Spouse/Child)

Strive Health

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 ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Denver, CO

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 9, 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 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.

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?

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $117,207 per year, or $56.3 per hour.

JEI - Corporate Data Analytics Engineer

JACOBS ENTERTAINMENT, Inc.

Lakewood, CO • On-site

$135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Description
A Legacy of Excellence
Entertaining Your World
Jacobs Entertainment, Inc. (JEI) is a developer, owner and operator of gaming and entertainment facilities across the United States. Core to the company's value is our commitment to ethical leadership, outstanding training, and open employee communication.
Jacobs Entertainment is currently in search of a "Corporate Data Analytics Engineer" for our corporate office in Lakewood. If you are seeking an opportunity where your contributions and skills will be both valued and your ability to influence change will be immediate, we would love to speak with you.
Our employees are supported with a comprehensive benefits program that include the following:
  • $200 Referral Bonus
  • Tuition Reimbursement
  • Ongoing learning and development programs
  • Work towards your future advancement within the company-most of our supervisors and managers are promoted from within
  • 7 paid Holidays
  • 80 hours of Vacation after 1 year of employment
  • 48 Hours of Paid Sick Leave available immediately and renews annually
  • We offer a variety of affordable medical, dental, vision and flexible spending account plans after 60 days
  • Employee Assistance Program FREE of charge
  • Company paid Life Insurance and AD&D
  • Matching 401K program after 90 days

Essential Job Responsibilities and Duties:
  • Design, build, and maintain robust star-schema data models and SQL views within the Enterprise Data Warehouse (EDW) to support regional operations
  • Build and optimize semantic layers, metadata packages, definitions, and security access models to ensure consistent metrics across the organization
  • Consolidate data structures across disparate regional properties to create a unified view of property performance, guest behavior, and revenue tracking
  • Author clean, well-documented, and performant SQL queries to streamline data pipeline processing and minimize warehouse query runtimes
  • Proactively monitor data pipelines and ETL (Extract, Transform, Load) processes, troubleshooting and resolving integration failures, data quality issues, or pipeline bottlenecks to ensure the timely and accurate delivery of data
  • Feature-engineer dataset tables and prepare structured data views to feed predictive artificial intelligence and machine learning models
  • Partner with the analytics team on effective use of AI across the department, including forecasting (covers, occupancy, gaming volume, labor demand), predictive modeling (customer lifetime value, churn, reinvestment), and other applied use cases; evaluate tools, advise on appropriate techniques, and help translate business questions into well-scoped AI/ML problems
  • Integrate, map, and model guest journey data from the marketing CRM, including omni-channel campaigns, segmentation performance, email open/click behaviors, and promotional attribution
  • Model and interpret core gaming metrics, including Slot/Table Drop, Win/Hold percentages, Theoretical Win (Theo), and coin-in data, in partnership with operations and finance leadership
  • Build and maintain a working understanding of Property Management Systems (PMS) data, including ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), occupancy tracking, and multi-property booking behaviors
  • Map data from Player Tracking Systems, managing rewards, tier progressions, reinvestment rates, and marketing offer redemptions
  • Model food and beverage transaction data from InfoGenesis POS, including check-level detail, menu mix, voids, and comps, to support outlet performance and F&B analytics
  • Integrate workforce and payroll data from UKG Labor / Kronos, applying Slowly Changing Dimension techniques so labor history (roles, pay rates, property assignments) is preserved for accurate hourly labor efficiency and historical reporting

Skills, Education and Other Requirements:
  • 3-5 years of experience in data modeling, analytics engineering, or business intelligence engineering
  • Advanced SQL mastery, with expert-level ability to write complex analytical queries, stored procedures, database indexes, and performance-tuning optimizations
  • Strong foundational knowledge of relational databases, dimensional modeling, and Enterprise Data Warehouse infrastructure
  • Familiarity or hands-on experience using erwin Data Modeler to view, interpret, or contribute to enterprise-level logical and physical data diagrams
  • Practical experience building enterprise semantic layers, data packages, or structured metadata layouts for enterprise reporting platforms (e.g., IBM Cognos, Looker, or Power BI)
  • Bachelor's Degree in a Quantitative, Computer Science, Information Systems, or related field, or equivalent work experience
  • Ability to work effectively from a designated regional location, with a strong geographic preference for Reno, NV or Denver, CO
  • Strong analytical skill and aptitude for working with data and logical thinking
  • Attention to detail
  • Ability to manage multiple projects at the same time
  • Ability to write detailed reports and correspondence
  • Must possess ability to read and interpret documents such as internal controls and procedure manual
  • Ability to obtain a Colorado Gaming License
  • Identification that establishes identity
  • Identification that establishes the right to work in the United States

Machinery, Work Equipment, Programs, Software, Hardware Used
  • Computer
  • Agilysys InfoGenesis POS
  • erwin Data Modeler
  • Hotel PMS: Oracle Opera, Infor HMS
  • BI: IBM Cognos Analytics (Framework Manager, Data Modules)
  • SQL / Enterprise Data Warehouse (EDW)
  • UKG Labor / Kronos
  • MS Office
  • IGT Advantage Gaming System preferred (Aristocrat Oasis or Light & Wonder also accepted)
  • dbt (Data Build Tool) preferred

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