Data Analytics Manager Visa Sponsorship Jobs in Colorado
Colorado's data analytics manager roles are concentrated in Denver, Boulder, and the tech corridor along US-36, where companies like Palantir, Ping Identity, and Lockheed Martin actively hire for data leadership. The state's growing aerospace, healthtech, and financial services sectors create steady demand for experienced analytics managers who can secure visa sponsorship.
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Manager – Data & Analytics Engineering
Job Description:
The Manager – Data & Analytics Engineering leads teams responsible for delivering enterprise reporting, analytics, and modern data platform capabilities that enable data-driven decision-making across the organization.
This role manages a cross-functional team of data engineers, analytics engineers, and BI developers responsible for building and operating the company’s modern data platform. The role also oversees development of the organization’s enterprise analytics and semantic data layer, ensuring consistent business definitions and trusted metrics across reporting, analytics, and data science solutions.
This position focuses on guiding architecture decisions, establishing engineering standards, and ensuring reliable delivery and operational support of data and analytics solutions. It requires sufficient technical depth to guide architecture and engineering practices, while primarily focusing on team leadership and delivery management rather than hands-on development.
What You'll Be Doing:
Data Platform & Engineering Leadership
- Lead teams responsible for developing and operating the organization’s Azure-based data platform leveraging Databricks and lakehouse architecture.
- Oversee development of scalable data ingestion pipelines, transformation workflows, and curated datasets using modern data engineering and analytics engineering practices.
- Establish engineering standards for data pipelines, data transformations, monitoring, testing, and deployment.
Analytics Engineering & Data Modeling
- Guide development of curated analytical data models and transformation frameworks.
- Ensure consistent business metrics, dimensional models, and reusable datasets are developed to support reporting and analytics.
- Promote development of well-documented enterprise data products that support multiple analytical use cases.
Business Intelligence & Reporting
- Oversee development and governance of Power BI dashboards, semantic models, and enterprise reporting solutions.
- Ensure reporting assets deliver accurate and consistent insights across business functions.
- Support adoption of self-service analytics capabilities while maintaining strong governance and data consistency.
Production Support & Operational Reliability
- Ensure ongoing production support for the data platform, data pipelines, and reporting environments.
- Establish processes for incident management, issue resolution, and root cause analysis related to data and reporting issues.
- Monitor data pipeline performance, reporting availability, and data quality to ensure reliable analytics delivery.
- Coordinate with IT and business stakeholders to prioritize and resolve production incidents and support requests.
Business Partnership & Delivery
- Partner with business leaders and SMEs to understand reporting and analytics needs.
- Ensure teams effectively translate business requirements into scalable data models and reporting solutions.
- Manage delivery priorities, project backlogs, and stakeholder communications.
Leadership & Team Development
- Manage, mentor, and develop a team of data engineers, analytics engineers, and BI developers.
- Foster a culture of technical excellence, collaboration, and continuous improvement.
- Guide technical decision-making while ensuring teams follow established development standards and best practices.
What We Are Looking For:
- 8+ years of experience in business intelligence, data engineering, analytics, or related technical roles
- 2–4 years managing technical teams
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
- Experience supporting distribution, logistics, or supply chain analytics environments is preferred.
- Experience managing technical teams delivering data engineering, analytics, or BI solutions.
- Ability to manage competing priorities and drive delivery across multiple initiatives.
- Strong collaboration and stakeholder engagement skills.
- Strong understanding of modern data and analytics technologies including:
- Azure data platform
- Databricks and lakehouse architecture
- dbt or analytics engineering frameworks
- Power BI and enterprise reporting platforms
- Data modeling and dimensional design
- ETL / ELT pipeline development
Work Arrangement: Hybrid: Tuesday, Wednesday, Thursday required office days for Panorama Office site; Monday, Friday-work from home.
What’s In It For You:
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans and a solid benefits package.
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Short-Term/Long-Term Disability Insurance
- Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
- Paid Time Off (including sick, holiday, vacation, etc.)
- Tuition Reimbursement
- Growth Opportunities
- Discounted RTD Passes, with convenient office location off RTD Light Rail (Dry Creek Exit)
- On-site Café with Catering Option for Busy Lifestyles
- 24/7/365 On-site Gym and Lockers, Free for Use to All Employees!
- Bike Racks
- And more!
Are you being referred to one of our roles? If so, ask your connection at Arrow about our Employee Referral Process!
Annual Hiring Range/Hourly Rate:
$102,900.00 - $174,240.00
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.
Location:
US-CO-Denver, Colorado (Panorama Arrow Building)
Time Type:
Full time
Job Category:
Information Technology
EEO Statement:
Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.
All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Position:
Manager – Data & Analytics Engineering
Job Description:
The Manager – Data & Analytics Engineering leads teams responsible for delivering enterprise reporting, analytics, and modern data platform capabilities that enable data-driven decision-making across the organization.
This role manages a cross-functional team of data engineers, analytics engineers, and BI developers responsible for building and operating the company’s modern data platform. The role also oversees development of the organization’s enterprise analytics and semantic data layer, ensuring consistent business definitions and trusted metrics across reporting, analytics, and data science solutions.
This position focuses on guiding architecture decisions, establishing engineering standards, and ensuring reliable delivery and operational support of data and analytics solutions. It requires sufficient technical depth to guide architecture and engineering practices, while primarily focusing on team leadership and delivery management rather than hands-on development.
What You'll Be Doing:
Data Platform & Engineering Leadership
- Lead teams responsible for developing and operating the organization’s Azure-based data platform leveraging Databricks and lakehouse architecture.
- Oversee development of scalable data ingestion pipelines, transformation workflows, and curated datasets using modern data engineering and analytics engineering practices.
- Establish engineering standards for data pipelines, data transformations, monitoring, testing, and deployment.
Analytics Engineering & Data Modeling
- Guide development of curated analytical data models and transformation frameworks.
- Ensure consistent business metrics, dimensional models, and reusable datasets are developed to support reporting and analytics.
- Promote development of well-documented enterprise data products that support multiple analytical use cases.
Business Intelligence & Reporting
- Oversee development and governance of Power BI dashboards, semantic models, and enterprise reporting solutions.
- Ensure reporting assets deliver accurate and consistent insights across business functions.
- Support adoption of self-service analytics capabilities while maintaining strong governance and data consistency.
Production Support & Operational Reliability
- Ensure ongoing production support for the data platform, data pipelines, and reporting environments.
- Establish processes for incident management, issue resolution, and root cause analysis related to data and reporting issues.
- Monitor data pipeline performance, reporting availability, and data quality to ensure reliable analytics delivery.
- Coordinate with IT and business stakeholders to prioritize and resolve production incidents and support requests.
Business Partnership & Delivery
- Partner with business leaders and SMEs to understand reporting and analytics needs.
- Ensure teams effectively translate business requirements into scalable data models and reporting solutions.
- Manage delivery priorities, project backlogs, and stakeholder communications.
Leadership & Team Development
- Manage, mentor, and develop a team of data engineers, analytics engineers, and BI developers.
- Foster a culture of technical excellence, collaboration, and continuous improvement.
- Guide technical decision-making while ensuring teams follow established development standards and best practices.
What We Are Looking For:
- 8+ years of experience in business intelligence, data engineering, analytics, or related technical roles
- 2–4 years managing technical teams
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
- Experience supporting distribution, logistics, or supply chain analytics environments is preferred.
- Experience managing technical teams delivering data engineering, analytics, or BI solutions.
- Ability to manage competing priorities and drive delivery across multiple initiatives.
- Strong collaboration and stakeholder engagement skills.
- Strong understanding of modern data and analytics technologies including:
- Azure data platform
- Databricks and lakehouse architecture
- dbt or analytics engineering frameworks
- Power BI and enterprise reporting platforms
- Data modeling and dimensional design
- ETL / ELT pipeline development
Work Arrangement: Hybrid: Tuesday, Wednesday, Thursday required office days for Panorama Office site; Monday, Friday-work from home.
What’s In It For You:
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans and a solid benefits package.
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Short-Term/Long-Term Disability Insurance
- Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
- Paid Time Off (including sick, holiday, vacation, etc.)
- Tuition Reimbursement
- Growth Opportunities
- Discounted RTD Passes, with convenient office location off RTD Light Rail (Dry Creek Exit)
- On-site Café with Catering Option for Busy Lifestyles
- 24/7/365 On-site Gym and Lockers, Free for Use to All Employees!
- Bike Racks
- And more!
Are you being referred to one of our roles? If so, ask your connection at Arrow about our Employee Referral Process!
Annual Hiring Range/Hourly Rate:
$102,900.00 - $174,240.00
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer.
Location:
US-CO-Denver, Colorado (Panorama Arrow Building)
Time Type:
Full time
Job Category:
Information Technology
EEO Statement:
Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status.
All Arrow job postings are for existing job vacancies. We anticipate this requisition will be open for a minimum of five days, though it may be open for a longer period of time. We encourage your prompt application.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Data Analytics Manager Job Roles in Colorado
See all Data Analytics Manager Jobs in Colorado
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Search Data Analytics Manager Jobs in ColoradoData Analytics Manager Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for data analytics managers in Colorado?
Several large employers in Colorado have documented H-1B visa sponsorship histories for analytics and data leadership roles. These include Palantir Technologies in Denver, Ball Aerospace in Broomfield, DaVita in Denver, and Charles Schwab's Denver operations. Larger enterprise tech and healthcare companies tend to have established legal and HR infrastructure to manage the sponsorship process, making them more reliable targets than smaller startups.
Which visa types are most common for data analytics manager roles in Colorado?
The H-1B is the most common visa category for data analytics managers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a related field such as statistics, computer science, or information systems. Candidates already in the U.S. on OPT or STEM OPT often pursue H-1B sponsorship through Colorado employers. Those with advanced credentials may also encounter EB-2 or EB-1 pathways through employer-sponsored green card petitions.
Which cities in Colorado have the most data analytics manager sponsorship jobs?
Denver accounts for the largest share of data analytics manager sponsorship activity in Colorado, driven by its concentration of corporate headquarters, healthcare systems, and financial services firms. Boulder follows, with a strong presence of tech companies and startups connected to the University of Colorado ecosystem. The US-36 corridor linking Denver and Boulder, including Broomfield and Westminster, also has notable employer density in aerospace and enterprise software.
How to find data analytics manager visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international candidates looking for visa sponsorship roles, including data analytics manager positions in Colorado. The platform filters jobs by sponsorship willingness, so you are not sorting through listings from employers who will not sponsor. Searching by role and state on Migrate Mate surfaces relevant openings from employers in Denver, Boulder, and the broader Front Range area that have sponsorship capacity for data analytics leadership roles.
Are there state-specific or role-specific considerations for data analytics manager visa sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to post compensation ranges in job listings, which gives international candidates useful context when evaluating whether a role meets prevailing wage requirements under the H-1B program. The University of Colorado and Colorado State University also produce graduate-level analytics talent, creating pipelines that employers draw from and are accustomed to sponsoring. Colorado's active tech and aerospace sectors mean data analytics manager roles here often require domain experience in industries with federal contracting components, which can add complexity to sponsorship timelines.
What is the prevailing wage for sponsored data analytics manager 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.