Business Intelligence Consultant Visa Sponsorship Jobs in Colorado
Business intelligence consultant jobs in Colorado are concentrated in Denver's tech and financial services sectors, with major employers like DaVita, Lockheed Martin, and Arrow Electronics filing visa sponsorship petitions in the Front Range corridor. Boulder's analytics-driven startup ecosystem and Colorado Springs' defense-adjacent data firms add further demand for BI talent statewide.
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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.
Business Intelligence Consultant Job Roles in Colorado
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Search Business Intelligence Consultant Jobs in ColoradoBusiness Intelligence Consultant Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for business intelligence consultants?
Denver-area employers with consistent BI sponsorship histories include DaVita, Lockheed Martin, Arrow Electronics, and Dish Network. Financial services firms like Charles Schwab and healthcare analytics companies also file petitions for BI roles. Boulder-based technology companies and Colorado Springs defense contractors represent additional sponsoring employers. Reviewing OFLC public disclosure data by employer and job title gives the clearest picture of recent filing activity.
What visa types realistically cover business intelligence consultant roles in Colorado?
Business intelligence consultant positions typically qualify as specialty occupations requiring a bachelor's degree in computer science, information systems, statistics, or a related field. This makes H-1B visa the primary pathway, with H-1B1 visa available to Chilean and Singaporean nationals. E-3 visa covers Australian nationals in qualifying specialty occupations. F-1 students may use OPT or, if their degree is STEM-designated, the 24-month STEM OPT extension. Employer-sponsored EB-2 or EB-3 green cards are available for longer-term permanent residence.
Which cities in Colorado have the most business intelligence consultant sponsorship jobs?
Denver accounts for the largest share of BI consultant sponsorship activity in Colorado, driven by its concentration of corporate headquarters, healthcare systems, and technology firms. The Denver Tech Center suburban corridor adds significant volume. Boulder follows with analytics-focused startups and university-adjacent employers. Colorado Springs hosts defense and government contracting firms with BI needs, and Fort Collins sees some activity tied to Colorado State University research and regional employers.
How to find business intelligence consultant visa sponsorship jobs in Colorado?
Migrate Mate lists business intelligence consultant positions in Colorado filtered to employers with verified visa sponsorship histories, so you can focus applications on companies already familiar with the sponsorship process. The platform covers the Front Range and broader Colorado market, showing roles aligned with BI specializations. Searching by city within Colorado helps narrow results to Denver, Boulder, or Colorado Springs depending on your preference.
Are there state-specific factors that affect BI consultant visa sponsorship in Colorado?
Colorado's growing technology and healthcare analytics sectors create steady demand for BI consultants, which supports sponsorship activity from established employers. The University of Colorado and Colorado State University produce data analytics graduates who feed local hiring pipelines, meaning employers are familiar with F-1 OPT and STEM OPT timelines. Colorado has no state-specific visa or sponsorship rules, but the competitive Denver job market means BI consultants with demonstrable experience in tools like Tableau, Power BI, or Snowflake tend to advance further in sponsorship-eligible hiring processes.
What is the prevailing wage for sponsored business intelligence consultant 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.