Analytics Engineer Visa Sponsorship Jobs in Colorado
Analytics engineer visa sponsorship jobs in Colorado are concentrated in Denver and Boulder, where companies like Palantir, Ibotta, and Arrow Electronics run data-heavy operations. The state's growing tech sector, anchored by a mix of defense contractors, fintech firms, and SaaS companies, creates consistent demand for analytics engineers with strong SQL, dbt, and data modeling skills.
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Guy Carpenter
Description:
We are seeking a talented individual to join our Underwriting Analytics team at Guy Carpenter. This role will be based in any of Guy Carpenter's offices. This is a hybrid role that has a requirement of working at least three days a week in the office.
The Underwriting Analytics team develops analytical solutions that support underwriting strategy, portfolio insights, risk segmentation, and decision support across the business. The successful candidate will work at the intersection of data science, underwriting, and business strategy, partnering closely with technical and commercial stakeholders to deliver scalable insights and tools.
We will count on you to:
- Develop and enhance analytical models, decision tools, and data products that support underwriting and portfolio management objectives.
- Apply statistical, machine learning, and data mining techniques to large internal and external datasets to identify patterns, performance drivers, and emerging risk insights.
- Partner with underwriting, broking, actuarial, catastrophe modeling, and portfolio management teams to translate business questions into scalable analytical solutions.
- Build models and analytical frameworks for use cases such as risk segmentation, portfolio monitoring, performance attribution, propensity analysis, anomaly detection, and underwriting optimization.
- Design and execute exploratory data analysis to assess portfolio characteristics, underwriting outcomes, loss experience, and market trends.
- Engineer features from structured and semi-structured insurance datasets, including exposure, submission, pricing, claims, and third-party data sources.
- Support productionization of analytical workflows by contributing to model validation, documentation, version control, testing, and monitoring.
- Create clear and compelling visualizations, summaries, and presentations that communicate technical findings to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of underwriting analytics capabilities, data pipelines, and modeling standards across the team.
- Stay current on emerging methods in machine learning, optimization, and applied analytics relevant to underwriting and reinsurance decision-making.
What you need to have:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, or another quantitative discipline.
- 3–6 years of relevant experience in data science, advanced analytics, or quantitative modeling.
- Prior insurance industry experience at a carrier, reinsurer, broker, or data/analytics vendor.
- Demonstrated experience working with insurance datasets and business problems.
- Strong programming skills in Python and SQL; familiarity with R is a plus.
- Experience building and validating predictive or diagnostic models using statistical and machine learning techniques.
- Strong grounding in probability, statistics, model evaluation, and analytical problem-solving.
- Ability to communicate technical concepts effectively to underwriting and business stakeholders.
- Strong attention to detail, sound judgment, and the ability to manage multiple priorities.
What makes you stand out:
- Experience specifically in underwriting analytics, portfolio analytics, or insurance performance analytics.
- Familiarity with commercial insurance and/or reinsurance concepts, underwriting workflows, and portfolio management practices.
- Experience with methods such as GLMs, tree-based models, clustering, regularization, time series analysis, and anomaly detection.
- Experience with exposure, policy, claims, pricing, or submission data in a P&C or specialty insurance context.
- Familiarity with cloud-based analytics environments, model deployment practices, and modern data tooling.
- Exposure to geospatial, catastrophe, or alternative risk datasets is a plus.
- Advanced degree in a quantitative field.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
At Guy Carpenter, a Marsh business, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career.
Guy Carpenter is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Guy Carpenter, visit guycarp.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
The applicable base salary range for this role is $105,000 to $192,500.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
Company:
Guy Carpenter
Description:
We are seeking a talented individual to join our Underwriting Analytics team at Guy Carpenter. This role will be based in any of Guy Carpenter's offices. This is a hybrid role that has a requirement of working at least three days a week in the office.
The Underwriting Analytics team develops analytical solutions that support underwriting strategy, portfolio insights, risk segmentation, and decision support across the business. The successful candidate will work at the intersection of data science, underwriting, and business strategy, partnering closely with technical and commercial stakeholders to deliver scalable insights and tools.
We will count on you to:
- Develop and enhance analytical models, decision tools, and data products that support underwriting and portfolio management objectives.
- Apply statistical, machine learning, and data mining techniques to large internal and external datasets to identify patterns, performance drivers, and emerging risk insights.
- Partner with underwriting, broking, actuarial, catastrophe modeling, and portfolio management teams to translate business questions into scalable analytical solutions.
- Build models and analytical frameworks for use cases such as risk segmentation, portfolio monitoring, performance attribution, propensity analysis, anomaly detection, and underwriting optimization.
- Design and execute exploratory data analysis to assess portfolio characteristics, underwriting outcomes, loss experience, and market trends.
- Engineer features from structured and semi-structured insurance datasets, including exposure, submission, pricing, claims, and third-party data sources.
- Support productionization of analytical workflows by contributing to model validation, documentation, version control, testing, and monitoring.
- Create clear and compelling visualizations, summaries, and presentations that communicate technical findings to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of underwriting analytics capabilities, data pipelines, and modeling standards across the team.
- Stay current on emerging methods in machine learning, optimization, and applied analytics relevant to underwriting and reinsurance decision-making.
What you need to have:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, or another quantitative discipline.
- 3–6 years of relevant experience in data science, advanced analytics, or quantitative modeling.
- Prior insurance industry experience at a carrier, reinsurer, broker, or data/analytics vendor.
- Demonstrated experience working with insurance datasets and business problems.
- Strong programming skills in Python and SQL; familiarity with R is a plus.
- Experience building and validating predictive or diagnostic models using statistical and machine learning techniques.
- Strong grounding in probability, statistics, model evaluation, and analytical problem-solving.
- Ability to communicate technical concepts effectively to underwriting and business stakeholders.
- Strong attention to detail, sound judgment, and the ability to manage multiple priorities.
What makes you stand out:
- Experience specifically in underwriting analytics, portfolio analytics, or insurance performance analytics.
- Familiarity with commercial insurance and/or reinsurance concepts, underwriting workflows, and portfolio management practices.
- Experience with methods such as GLMs, tree-based models, clustering, regularization, time series analysis, and anomaly detection.
- Experience with exposure, policy, claims, pricing, or submission data in a P&C or specialty insurance context.
- Familiarity with cloud-based analytics environments, model deployment practices, and modern data tooling.
- Exposure to geospatial, catastrophe, or alternative risk datasets is a plus.
- Advanced degree in a quantitative field.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
At Guy Carpenter, a Marsh business, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career.
Guy Carpenter is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Guy Carpenter, visit guycarp.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
The applicable base salary range for this role is $105,000 to $192,500.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
Analytics Engineer Job Roles in Colorado
See all 51+ Analytics Engineer Jobs in Colorado
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Search Analytics Engineer Jobs in ColoradoAnalytics Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Colorado?
Several Colorado-based employers have a documented history of H-1B visa sponsorship for data and analytics roles. Palantir Technologies in Denver, Arrow Electronics in Centennial, and Ibotta are among the more active sponsors. Larger employers with Colorado offices, including Lockheed Martin, DISH Network, and Trimble, have also filed LCAs for analytics-related positions. Sponsorship activity varies year to year and by team, so verifying current openings directly is essential.
Which visa types are most common for analytics engineer roles in Colorado?
The H-1B is the most common visa for analytics engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, mathematics, or a related field. Some employers also use the O-1A for candidates with demonstrated expertise. Australians may be eligible for the E-3 visa, and Canadians and Mexicans may qualify under TN visa status in certain data-focused job categories.
Which cities in Colorado have the most analytics engineer sponsorship jobs?
Denver is by far the primary hub for analytics engineer sponsorship jobs in Colorado, driven by its concentration of technology, finance, and enterprise software companies. Boulder follows, with a strong startup ecosystem and proximity to the University of Colorado. Colorado Springs has a smaller but active market tied to defense and aerospace employers. Remote-friendly Colorado-registered companies also post sponsorship-eligible roles that aren't tied to a single city.
How to find analytics engineer visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international job seekers and filters analytics engineer roles in Colorado by visa sponsorship eligibility, saving you from sorting through listings where sponsorship isn't offered. You can filter by location, visa type, and role category to surface relevant openings from Colorado employers actively hiring. This is particularly useful given that sponsorship availability isn't always disclosed upfront in standard job postings.
Are there any Colorado-specific factors that affect analytics engineer visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose pay ranges in job postings, which gives analytics engineer candidates useful context when assessing whether an offer meets Department of Labor prevailing wage requirements, a mandatory condition for H-1B approval. Colorado's university pipeline, particularly from CU Boulder and Colorado State University, also means employers are accustomed to sponsoring candidates coming out of graduate programs in data and computer science fields.
What is the prevailing wage for sponsored analytics engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.