Data Reporting Analyst Visa Sponsorship Jobs in Colorado
Data reporting analyst jobs in Colorado attract international candidates through employers in Denver's tech corridor, aerospace sector, and healthcare systems like UCHealth and SCL Health. Companies such as Palantir, Lockheed Martin, and Dish Network have filed for data-focused roles in Colorado. Major hiring activity concentrates in Denver, Boulder, and Colorado Springs.
Find Data Reporting Analyst JobsOverview
Showing 5 of 9+ Data Reporting Analyst Jobs in Colorado with Visa Sponsorship
See all Data Reporting Analyst Jobs in Colorado with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Reporting Analyst Jobs in Colorado with Visa Sponsorship.
Get Access To All JobsAbout us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Overview
You own the data foundation behind how CX Operations understands its performance and how it connects to the broader Fanatics ecosystem. As the Staff Analyst for Ops Ecosystem Analytics, you design and build the architecture, models, and operating standards that make CX Ops ecosystem data in Snowflake trustworthy, scalable, and usable by cross-functional teams, leaders, and by the AI agents we're building on top of it.
This is a hands-on technical role with broad influence. You take raw tables from across the business and turn them into clean, documented, tested models that the rest of the team builds on. You work side by side with Data & Analytics Engineering as well as Strategy teams. You set the SQL and data-modeling bar for the Ops Analytics team without managing anyone. You tell the story of what the data says, regularly presenting to senior leadership and translating architecture decisions and analytical findings into impact they can act on.
We are building toward an AI-first way of operating, and this role is central to it. The right person is technically sharp, relentlessly detail-oriented, and curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself to a high bar without being told to.
Data architecture and operations environment
- Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and the operating model that keeps it reliable as it scales.
- Decide how ecosystem Ops data should be structured, owned, and governed, and drive alignment with necessary teams, like Data Engineering, on those decisions.
- Consolidate overlapping or one-off datasets into shared, well-governed sources of truth, and set naming and documentation conventions.
- Define and track data quality standards for Ops ecosystem data.
- Build alerting on critical metrics as needed so issues are caught before they reach leadership reporting.
dbt and analytics engineering
- Turn raw cross-domain tables into clean, tested, reusable dbt models that the whole team can build on.
- Own the team's core models and introduce data tests, code review practices, and modeling standards that catch issues before they reach stakeholders.
- Review teammates' SQL, models, and dashboards for correctness, performance, and readability, and coach analysts on best practices.
- Replace manual, one-off data pulls with automated, always-on solutions.
Analytical work and insights
- Lead complex, cross-functional analyses from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation, without formal authority over contributors.
- Diagnose root causes rather than symptoms, and surface trends, anomalies, and risks without waiting to be asked.
- Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
- Set the standard for publication-ready dashboards and reporting, with clearly defined KPIs and documented assumptions.
Communication and influence
- Present findings, architecture decisions, and impact to Ops and senior leadership. Take a high-uncertainty situation and communicate what you know, what you don't, and what you recommend.
- Build the narrative around the data so stakeholders understand not just what the numbers say but what to do about them.
- Mentor and support analysts across the team through standards, reviews, and knowledge sharing.
AI enablement
- Make sure agents are built on validated, trusted data foundations, and contribute the data models and evaluation rigor they need before they move to build.
- Track the performance of deployed agents against Ops goals.
- Bring a point of view on where AI can be trusted in analytical workflows and where human judgment needs to stay in the loop.
Required Qualifications
- 5+ years in analytics, analytics engineering, business intelligence, or strategic operations.
- Advanced, hands-on SQL. You write, QA, and optimize complex queries and set the standard others are held to. This role includes a live, on-screen technical exercise.
- Strong dbt experience. You have designed model layers, written tests, and made sound architectural decisions, not just maintained existing models.
- Demonstrated experience designing or owning a data environment in a cloud data warehouse (Snowflake preferred), including schema design, governance, and data quality.
- Experience working closely with data or analytics engineering teams to turn raw data into production-ready models.
- Strong executive communication. You have presented analysis and recommendations to senior leaders and can defend your methodology under scrutiny.
- Experience owning complex, cross-functional projects end to end.
- Experience building dashboards in Sigma, Tableau, or a comparable tool.
- High attention to detail. You catch data quality issues before they surface in leadership reporting.
- Comfortable in fast-paced, ambiguous environments with shifting priorities.
Preferred Qualifications
- Experience supporting AI/ML workflows, agent builds, or automation initiatives.
- Python or a similar scripting language for data manipulation and automation.
- Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
- Experience in gaming, fintech, or sports, or another operationally intensive, high-volume environment.
- Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.
About us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Overview
You own the data foundation behind how CX Operations understands its performance and how it connects to the broader Fanatics ecosystem. As the Staff Analyst for Ops Ecosystem Analytics, you design and build the architecture, models, and operating standards that make CX Ops ecosystem data in Snowflake trustworthy, scalable, and usable by cross-functional teams, leaders, and by the AI agents we're building on top of it.
This is a hands-on technical role with broad influence. You take raw tables from across the business and turn them into clean, documented, tested models that the rest of the team builds on. You work side by side with Data & Analytics Engineering as well as Strategy teams. You set the SQL and data-modeling bar for the Ops Analytics team without managing anyone. You tell the story of what the data says, regularly presenting to senior leadership and translating architecture decisions and analytical findings into impact they can act on.
We are building toward an AI-first way of operating, and this role is central to it. The right person is technically sharp, relentlessly detail-oriented, and curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself to a high bar without being told to.
Data architecture and operations environment
- Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and the operating model that keeps it reliable as it scales.
- Decide how ecosystem Ops data should be structured, owned, and governed, and drive alignment with necessary teams, like Data Engineering, on those decisions.
- Consolidate overlapping or one-off datasets into shared, well-governed sources of truth, and set naming and documentation conventions.
- Define and track data quality standards for Ops ecosystem data.
- Build alerting on critical metrics as needed so issues are caught before they reach leadership reporting.
dbt and analytics engineering
- Turn raw cross-domain tables into clean, tested, reusable dbt models that the whole team can build on.
- Own the team's core models and introduce data tests, code review practices, and modeling standards that catch issues before they reach stakeholders.
- Review teammates' SQL, models, and dashboards for correctness, performance, and readability, and coach analysts on best practices.
- Replace manual, one-off data pulls with automated, always-on solutions.
Analytical work and insights
- Lead complex, cross-functional analyses from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation, without formal authority over contributors.
- Diagnose root causes rather than symptoms, and surface trends, anomalies, and risks without waiting to be asked.
- Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
- Set the standard for publication-ready dashboards and reporting, with clearly defined KPIs and documented assumptions.
Communication and influence
- Present findings, architecture decisions, and impact to Ops and senior leadership. Take a high-uncertainty situation and communicate what you know, what you don't, and what you recommend.
- Build the narrative around the data so stakeholders understand not just what the numbers say but what to do about them.
- Mentor and support analysts across the team through standards, reviews, and knowledge sharing.
AI enablement
- Make sure agents are built on validated, trusted data foundations, and contribute the data models and evaluation rigor they need before they move to build.
- Track the performance of deployed agents against Ops goals.
- Bring a point of view on where AI can be trusted in analytical workflows and where human judgment needs to stay in the loop.
Required Qualifications
- 5+ years in analytics, analytics engineering, business intelligence, or strategic operations.
- Advanced, hands-on SQL. You write, QA, and optimize complex queries and set the standard others are held to. This role includes a live, on-screen technical exercise.
- Strong dbt experience. You have designed model layers, written tests, and made sound architectural decisions, not just maintained existing models.
- Demonstrated experience designing or owning a data environment in a cloud data warehouse (Snowflake preferred), including schema design, governance, and data quality.
- Experience working closely with data or analytics engineering teams to turn raw data into production-ready models.
- Strong executive communication. You have presented analysis and recommendations to senior leaders and can defend your methodology under scrutiny.
- Experience owning complex, cross-functional projects end to end.
- Experience building dashboards in Sigma, Tableau, or a comparable tool.
- High attention to detail. You catch data quality issues before they surface in leadership reporting.
- Comfortable in fast-paced, ambiguous environments with shifting priorities.
Preferred Qualifications
- Experience supporting AI/ML workflows, agent builds, or automation initiatives.
- Python or a similar scripting language for data manipulation and automation.
- Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
- Experience in gaming, fintech, or sports, or another operationally intensive, high-volume environment.
- Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.
Data Reporting Analyst Job Roles in Colorado
See all Data Reporting Analyst Jobs in Colorado
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Reporting Analyst Jobs in ColoradoData Reporting Analyst Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for data reporting analysts in Colorado?
Colorado employers with a track record of sponsoring data and analytics roles include Palantir Technologies in Denver, Lockheed Martin in Littleton, Dish Network, and Arrow Electronics. Healthcare systems such as UCHealth and large government contractors in the Colorado Springs area also sponsor data reporting positions. Reviewing DOL Labor Condition Application disclosure data shows which employers have filed for comparable roles recently.
Which visa types realistically fit data reporting analyst roles in Colorado?
Data reporting analyst roles typically qualify as specialty occupations requiring a bachelor's degree in a directly related field such as statistics, computer science, or information systems. The H-1B visa is the most common path, granting up to three years initially and extendable to six, though it is subject to an annual cap and selection process. Australian nationals can pursue the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa, both of which avoid the H-1B lottery. F-1 students may use OPT or, if their degree carries a STEM-designated classification, the 24-month STEM OPT extension. EB-2 and EB-3 green card categories apply for permanent sponsorship, with most cases requiring PERM labor certification.
Which cities in Colorado have the most data reporting analyst sponsorship jobs?
Denver accounts for the largest share of data reporting analyst sponsorship activity in Colorado, driven by its concentration of tech companies, financial services firms, and healthcare networks. Boulder is a secondary hub, home to several analytics-focused startups and university-affiliated employers. Colorado Springs sees sponsorship activity tied to defense contractors and federal agencies. Smaller activity appears in Fort Collins, where Colorado State University's research partnerships support analytics hiring.
How to find data reporting analyst visa sponsorship jobs in Colorado?
Migrate Mate lists Colorado employers with verified sponsorship history for data reporting analyst roles, so you can focus your search on companies that have already navigated the process. Filtering by Colorado on Migrate Mate surfaces active postings from Denver, Boulder, and Colorado Springs employers. This is more efficient than sorting through general job postings and trying to determine sponsorship willingness on your own.
Are there state-specific factors that affect data reporting analyst sponsorship in Colorado?
Colorado's strong aerospace and defense presence means many data reporting analyst openings require security clearances, which can complicate sponsorship for international candidates still in nonimmigrant status. The state's growing healthtech and clean energy sectors offer sponsorship-friendly alternatives. University of Colorado and Colorado State University pipelines supply F-1 talent into local analytics teams, making employers in Boulder and Fort Collins relatively experienced with OPT and STEM OPT arrangements.
What is the prevailing wage for sponsored data reporting analyst 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.