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Insurance Data Analytics Jobs in Colorado (NOW HIRING)

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$88K - $111K/yr

Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and ... Job Perks Industry leading health, vision and dental insurance for families (Plans cover 100% for ...

TekSynap

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.

Recurly

Analytics Engineer

Broomfield, CO · On-site

$70K - $103K/yr

We're looking for a great data analyst. Not good at SQL - good at analysis. SQL is the tool ... We also offer life insurance, short and long-term disability, hospital indemnity, critical illness ...

Campspot

Manager, Business Analytics

Denver, CO · On-site

$95K - $120K/yr

In this role, you will be the person who makes sure the right people have the right data at the ... Competitive benefits, including medical, dental, vision, life, and disability insurance options at ...

AArete

Senior Pharmacy Data Analyst

Denver, CO · On-site

$125K - $140K/yr

Partner with internal data and analytics teams to develop standardized processes, reusable queries ... Employer-paid Life Insurance, Short Term Disability, Long Term Disability * Charitable contribution ...

GliaCell Technologies

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 ...

GliaCell Technologies

Data Scientist

Aurora, CO · On-site

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

Aegon

Lead Data Engineer

Denver, CO

$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 ...

Capital Rx

Analyst, Data Exchange - Eligibility

Denver, CO · On-site

$96K - $121K/yr

... self-insured employers, * Judi Health , which offers full-service health benefit management ... of data transfers * Ability to analyze complex business problems to discover and resolve root ...

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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?

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 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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.
Senior Data Analyst

Senior Data Analyst

Artifact Uprising

Denver, CO • On-site

$88K - $111K/yr

Full-time

Re-posted yesterday

Job description

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty analytics function. This is a role for someone who loves rolling up their sleeves, building dashboards that actually get used, writing SQL to answer real business questions, and digging into messy data until it makes sense.

You’ll work across Marketing, Merchandising, Product, Operations, CX, and Finance to help teams understand what the data is telling them. You won’t have direct reports, but you’ll have real ownership and high visibility. If you’re comfortable doing the foundational work of a great data organization and excited about growing into more strategic responsibilities over time, this role is for you.

Job Responsibilities

Hands-On Analytical Work

  • Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and promotional impact; perform acquisition, LTV, retention, and customer journey analysis that connects to business action

  • Design and evaluate A/B tests, apply significance testing, and translate complex analysis into clear, concise data stories that non-technical stakeholders can act on

  • Contribute to data models that support ongoing and ad hoc analysis

Reporting & Dashboard Development

  • Build and maintain accurate, well-documented Looker dashboards tightly aligned with how teams make decisions; reduce dashboard sprawl and enforce consistent metric definitions across the org

  • Proactively surface trends, anomalies, and emerging opportunities through ongoing monitoring; maintain data quality standards and flag upstream issues to data engineering

Cross-Functional Partnership

  • Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and Finance

  • Help stakeholders understand what they can self-serve (Looker, Heap) versus what needs analytical support; shape vague requests into well-scoped analyses with clear tradeoffs and sequencing

  • Partner with product and engineering to define what data should be instrumented based on the questions that matter most

Qualifications

Required

  • 5+ years of experience in an analytics function with strong problem-solving skills

  • Advanced SQL, window functions, CTEs, complex joins, and the ability to debug unexpected results by tracing them back to the data model; working knowledge of data warehousing, relational databases, and dimensional modeling

  • E-commerce experience

  • Proficiency in a modern BI tool (Looker strongly preferred; Tableau or Power BI acceptable), including building and maintaining the semantic layer

  • Statistical rigor: able to distinguish correlation from causation, design and evaluate A/B tests, and communicate findings clearly to non-technical audiences

  • Collaborative and curious, experienced in navigating competing priorities, turning ambiguous asks into clear deliverables, and partnering across multiple teams with a growth mindset

  • BS in a quantitative discipline (mathematics, statistics, computer science) or equivalent experience

Preferred

  • Experience with Snowflake, dbt, and LookML; familiarity with product analytics tools (Heap, Amplitude, Mixpanel) or event collection platforms (Segment)

  • Python or R for statistical modeling, simulation, or automation

  • Background in customer segmentation, lifecycle analysis, and marketing attribution.

The final salary is commensurate with experience, skills, and organizational equity considerations.
Artifact Uprising® is a Colorado-based company that creates premium quality, customizable photo goods for your digital photos. Driven by the mission to empower people to tell their stories effortlessly, beautifully and often, the company is known for elevated design and thoughtfully sourced materials. Signature products include the Layflat Album touting ultra-thick pages and foil-stamped covers, textured matte Everyday Prints, and a line of customizable frames.  
 
Artifact Uprising was recently named on the Built In Colorado’s 2024 Best Places to Work list. We are a tight-knit team who works with some of the latest technology to delight and inspire our customers.  
 
Job Perks
Industry leading health, vision and dental insurance for families (Plans cover 100% for employees and up to 95% for dependents), flexible vacation policy, Gym partnership with ClassPass, 401(k) matching plan, Year-End Company Bonus Plan.
 
Why Artifact Uprising?
Creative Freedom We value the creative process and look to our employees to speak into Artifact Uprising products, identity and approach – regardless of position or title. We look for driven people who demonstrate initiative to take the company to the next level.  
 
The Working Life
We strive to create a workplace where everyone works hard but also has the flexibility and balance to enjoy life outside of the office.  
 
It Won’t Be Boring
We are a small company with big ideas - and we recognize it will take every last one of us to reinvent the way brands approach business. We believe a good workplace empowers its team to rise to new challenges, expand their skill sets and think outside of the box. Through this, we foster a company culture that is always growing, always reaching, and always looking to see things differently.  
 
Interested in this position?
Tell us why you want to work at Artifact Uprising and what we should know about you. 
 
Artifact Uprising is an Equal Employment Opportunity (EEO) employer. We do not discriminate based upon race, color, sexual orientation, gender identity, religion, national origin, age, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.