Data Analyst Visa Sponsorship Jobs in Colorado
Data analyst visa sponsorship jobs in Colorado are concentrated in Denver and Boulder, where tech companies, healthcare systems like UCHealth and SCL Health, and aerospace firms including Lockheed Martin actively hire internationally. The state's growing fintech and government contracting sectors add further demand for analysts who can work with complex datasets at scale.
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Get Access To All JobsINTRODUCTION
Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
The Vice President, Data, Reporting & Analytics leads the development and delivery of data, reporting, and analytics capabilities for Personal Care Services (PCS). This leader oversees the integration of operational, clinical, workforce, financial, payor, and enterprise data to establish reliable, governed information that supports business performance and decision-making.
Working closely with enterprise IT, Information Security, Finance, Operations, Compliance, and system owners, this role drives the PCS data strategy, integration roadmap, reporting architecture, business intelligence, and analytics capabilities to improve operational efficiency, financial performance, and strategic decision-making.
ROLE AND RESPONSIBILITIES
PCS Data, Reporting & Analytics Strategy
- Develop and execute an integrated PCS data, reporting, and analytics strategy aligned with growth, service delivery, financial performance, workforce capacity, and compliance priorities.
- Establish a multiyear roadmap covering data integrations, data quality, reporting modernization, business intelligence, advanced analytics, automation, and self-service capabilities.
- Define and standardize KPIs, business rules, executive dashboards, and reporting methodologies for market performance, service utilization, caregiver capacity, referral conversion, revenue realization, and financial outcomes.
- Translate business strategies, operational workflows, and requirements into actionable data, reporting, integration, and technology priorities in partnership with enterprise IT.
- Evaluate predictive analytics, AI, and automation opportunities based on data readiness, business value, implementation feasibility, and appropriate governance.
Data Integration, Mapping & Reporting Architecture
- Lead the development and delivery of PCS data integration and reporting solutions, including requirements, design, validation, deployment, and ongoing support.
- Maintain an inventory of PCS source systems, data owners, interfaces, reports, dashboards, dependencies, and critical data elements.
- Lead source-to-target data mapping across operational, workforce, financial, clinical, billing, scheduling, EVV, referral, CRM, HR, payroll, and other PCS platforms.
- Define business rules, transformation logic, calculations, hierarchies, and acceptance criteria for data pipelines, interfaces, warehouses, data marts, APIs, master-data solutions, and business intelligence platforms.
- Lead reconciliation and validation across source systems, integrated data environments, operational reports, financial records, and executive dashboards.
- Establish controls to identify and resolve missing, delayed, duplicated, mismatched, or incorrectly transformed data, with clear ownership and resolution timelines.
- Evaluate reporting and integration impacts associated with system implementations, migrations, acquisitions, market expansions, vendor changes, and operating-model changes.
- Reduce reliance on fragmented spreadsheets, manual data manipulation, and duplicative reporting through scalable, governed solutions.
Enterprise Reporting & Business Intelligence
- Oversee the PCS reporting portfolio, including executive, operational, financial, workforce, compliance, payor, market, and branch-level reporting.
- Establish reporting intake, prioritization, and governance standards that balance strategic initiatives, operational needs, regulatory requirements, and delivery capacity.
- Define standards for report accuracy, timeliness, usability, documentation, retention, access, testing, and change control.
- Consolidate duplicative or conflicting reports and establish authoritative dashboards and standardized metrics for critical business measures.
- Develop governed self-service reporting capabilities supported by standardized data models, training, and user support.
- Maintain reporting documentation, business glossaries, metric definitions, and data lineage while monitoring adoption and retiring reports that no longer provide value.
Operational, Workforce & Financial Analytics
- Partner with Operations, Finance, HR, and Growth to analyze caregiver recruitment and retention, scheduling, labor utilization, overtime, service capacity, and market productivity.
- Assess authorized versus delivered hours, missed visits, referrals, intake conversion, payor mix, reimbursement, revenue leakage, and contribution margins to identify performance opportunities.
- Develop forecasting, scenario planning, and business cases that support budgets, resource allocation, cost optimization, and profitable growth.
Quality, Compliance & Data Governance
- Establish and lead the PCS data governance operating model, including accountable data owners and stewards, common definitions, quality standards, access, retention, validation, and change control.
- Define and monitor data quality standards for completeness, accuracy, timeliness, consistency, uniqueness, and validity, coordinating technical implementation with enterprise partners.
- Establish monitoring, reconciliation controls, and exception reporting for EVV, service documentation, authorizations, delivered hours, billing, payroll, financial accuracy, and state- and payor-specific requirements.
- Partner with Compliance, Quality, Operations, and Finance to identify operational and financial risks, support audit readiness, and measure corrective action effectiveness.
Executive Partnership, Systems & Transformation
- Advise PCS leadership on market performance, operating model improvements, growth opportunities, and risks through clear, decision-ready analyses.
- Lead cross-functional performance improvement initiatives involving workflow standardization, operating dashboards, reporting adoption, and technology enablement.
- Serve as the PCS business lead for data and reporting components of system implementations, integrations, conversions, acquisitions, and platform migrations, ensuring defined requirements, historical-data strategies, reconciliation controls, testing, and measurable acceptance criteria.
Supervisory Responsibilities
- Lead and develop PCS teams responsible for data integration, analytics, business intelligence, reporting, governance, data quality, and performance improvement, establishing clear priorities and measurable outcomes.
- Manage assigned budgets, vendors, service levels, reporting and integration backlogs, delivery commitments, technical dependencies, and business cases for new capabilities.
- Build analytical, technical, and leadership talent while strengthening data literacy, succession planning, and collaboration across PCS markets and enterprise functions.
- Establish a disciplined delivery model with transparent priorities, development standards, testing requirements, release schedules, and accountability for reporting accuracy, timeliness, usability, and continuous improvement.
BASIC QUALIFICATIONS
- Bachelor’s degree in Analytics, Information Systems, Computer Science, Data Science, Business, Finance, Healthcare Administration, or a related field, or equivalent relevant professional experience.
- 12+ years of progressive experience in data, analytics, reporting, business intelligence, data integration, data governance, healthcare operations, or related disciplines, with accountability for enterprise or business-unit reporting outcomes preferred.
- 5+ years of progressive people leadership, including leading cross-functional teams or business intelligence, analytics, or operational performance functions.
- 5+ years leading data, reporting, business intelligence, integration, analytics, or data-driven operational performance initiatives in complex, multi-system organizations.
- Demonstrated success implementing KPIs, executive dashboards, forecasting or profitability models, and technology-enabled process improvements in complex, multi-site operations.
- Experience partnering with IT, data engineering, Finance, and operational stakeholders to translate business requirements into reliable data solutions and measurable outcomes.
- Leadership experience in personal care services, home health, home and community-based services, managed care, or similarly complex healthcare delivery operations preferred.
- Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements preferred.
- Experience with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI use cases preferred.
- Advanced degree or relevant continuous improvement certification preferred; experience directly managing data engineering teams is a plus.
- Deep knowledge of enterprise reporting, business intelligence, data integration, source-to-target mapping, data quality, data governance, master data, and KPI design.
- Strong understanding of healthcare or home-based care operations, workforce and financial performance measures, and forecasting methods.
- Ability to translate complex operational, workforce, clinical, and financial data into executive recommendations, business cases, and measurable improvement initiatives.
- Strong technical understanding of data transformation, lineage, dimensional modeling, semantic layers, data warehouses, APIs, interfaces, reporting platforms, privacy, and security controls.
- Demonstrated ability to lead cross-functional transformation, manage competing priorities, influence executives, and drive adoption of standardized processes and analytics.
COMPENSATION
- Salary: $202,300 - $250,000
This role is bonus eligible based on individual and company performance.
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
BENEFITS
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
Modivcare is an Equal Opportunity Employer.
EEO is The Law - click here for more information
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com
INTRODUCTION
Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
The Vice President, Data, Reporting & Analytics leads the development and delivery of data, reporting, and analytics capabilities for Personal Care Services (PCS). This leader oversees the integration of operational, clinical, workforce, financial, payor, and enterprise data to establish reliable, governed information that supports business performance and decision-making.
Working closely with enterprise IT, Information Security, Finance, Operations, Compliance, and system owners, this role drives the PCS data strategy, integration roadmap, reporting architecture, business intelligence, and analytics capabilities to improve operational efficiency, financial performance, and strategic decision-making.
ROLE AND RESPONSIBILITIES
PCS Data, Reporting & Analytics Strategy
- Develop and execute an integrated PCS data, reporting, and analytics strategy aligned with growth, service delivery, financial performance, workforce capacity, and compliance priorities.
- Establish a multiyear roadmap covering data integrations, data quality, reporting modernization, business intelligence, advanced analytics, automation, and self-service capabilities.
- Define and standardize KPIs, business rules, executive dashboards, and reporting methodologies for market performance, service utilization, caregiver capacity, referral conversion, revenue realization, and financial outcomes.
- Translate business strategies, operational workflows, and requirements into actionable data, reporting, integration, and technology priorities in partnership with enterprise IT.
- Evaluate predictive analytics, AI, and automation opportunities based on data readiness, business value, implementation feasibility, and appropriate governance.
Data Integration, Mapping & Reporting Architecture
- Lead the development and delivery of PCS data integration and reporting solutions, including requirements, design, validation, deployment, and ongoing support.
- Maintain an inventory of PCS source systems, data owners, interfaces, reports, dashboards, dependencies, and critical data elements.
- Lead source-to-target data mapping across operational, workforce, financial, clinical, billing, scheduling, EVV, referral, CRM, HR, payroll, and other PCS platforms.
- Define business rules, transformation logic, calculations, hierarchies, and acceptance criteria for data pipelines, interfaces, warehouses, data marts, APIs, master-data solutions, and business intelligence platforms.
- Lead reconciliation and validation across source systems, integrated data environments, operational reports, financial records, and executive dashboards.
- Establish controls to identify and resolve missing, delayed, duplicated, mismatched, or incorrectly transformed data, with clear ownership and resolution timelines.
- Evaluate reporting and integration impacts associated with system implementations, migrations, acquisitions, market expansions, vendor changes, and operating-model changes.
- Reduce reliance on fragmented spreadsheets, manual data manipulation, and duplicative reporting through scalable, governed solutions.
Enterprise Reporting & Business Intelligence
- Oversee the PCS reporting portfolio, including executive, operational, financial, workforce, compliance, payor, market, and branch-level reporting.
- Establish reporting intake, prioritization, and governance standards that balance strategic initiatives, operational needs, regulatory requirements, and delivery capacity.
- Define standards for report accuracy, timeliness, usability, documentation, retention, access, testing, and change control.
- Consolidate duplicative or conflicting reports and establish authoritative dashboards and standardized metrics for critical business measures.
- Develop governed self-service reporting capabilities supported by standardized data models, training, and user support.
- Maintain reporting documentation, business glossaries, metric definitions, and data lineage while monitoring adoption and retiring reports that no longer provide value.
Operational, Workforce & Financial Analytics
- Partner with Operations, Finance, HR, and Growth to analyze caregiver recruitment and retention, scheduling, labor utilization, overtime, service capacity, and market productivity.
- Assess authorized versus delivered hours, missed visits, referrals, intake conversion, payor mix, reimbursement, revenue leakage, and contribution margins to identify performance opportunities.
- Develop forecasting, scenario planning, and business cases that support budgets, resource allocation, cost optimization, and profitable growth.
Quality, Compliance & Data Governance
- Establish and lead the PCS data governance operating model, including accountable data owners and stewards, common definitions, quality standards, access, retention, validation, and change control.
- Define and monitor data quality standards for completeness, accuracy, timeliness, consistency, uniqueness, and validity, coordinating technical implementation with enterprise partners.
- Establish monitoring, reconciliation controls, and exception reporting for EVV, service documentation, authorizations, delivered hours, billing, payroll, financial accuracy, and state- and payor-specific requirements.
- Partner with Compliance, Quality, Operations, and Finance to identify operational and financial risks, support audit readiness, and measure corrective action effectiveness.
Executive Partnership, Systems & Transformation
- Advise PCS leadership on market performance, operating model improvements, growth opportunities, and risks through clear, decision-ready analyses.
- Lead cross-functional performance improvement initiatives involving workflow standardization, operating dashboards, reporting adoption, and technology enablement.
- Serve as the PCS business lead for data and reporting components of system implementations, integrations, conversions, acquisitions, and platform migrations, ensuring defined requirements, historical-data strategies, reconciliation controls, testing, and measurable acceptance criteria.
Supervisory Responsibilities
- Lead and develop PCS teams responsible for data integration, analytics, business intelligence, reporting, governance, data quality, and performance improvement, establishing clear priorities and measurable outcomes.
- Manage assigned budgets, vendors, service levels, reporting and integration backlogs, delivery commitments, technical dependencies, and business cases for new capabilities.
- Build analytical, technical, and leadership talent while strengthening data literacy, succession planning, and collaboration across PCS markets and enterprise functions.
- Establish a disciplined delivery model with transparent priorities, development standards, testing requirements, release schedules, and accountability for reporting accuracy, timeliness, usability, and continuous improvement.
BASIC QUALIFICATIONS
- Bachelor’s degree in Analytics, Information Systems, Computer Science, Data Science, Business, Finance, Healthcare Administration, or a related field, or equivalent relevant professional experience.
- 12+ years of progressive experience in data, analytics, reporting, business intelligence, data integration, data governance, healthcare operations, or related disciplines, with accountability for enterprise or business-unit reporting outcomes preferred.
- 5+ years of progressive people leadership, including leading cross-functional teams or business intelligence, analytics, or operational performance functions.
- 5+ years leading data, reporting, business intelligence, integration, analytics, or data-driven operational performance initiatives in complex, multi-system organizations.
- Demonstrated success implementing KPIs, executive dashboards, forecasting or profitability models, and technology-enabled process improvements in complex, multi-site operations.
- Experience partnering with IT, data engineering, Finance, and operational stakeholders to translate business requirements into reliable data solutions and measurable outcomes.
- Leadership experience in personal care services, home health, home and community-based services, managed care, or similarly complex healthcare delivery operations preferred.
- Knowledge of Medicaid reimbursement, EVV, caregiver workforce dynamics, payor contracts, and state-specific reporting requirements preferred.
- Experience with operational transformation, market expansion, acquisitions or integrations, Lean Six Sigma, predictive modeling, automation, or AI use cases preferred.
- Advanced degree or relevant continuous improvement certification preferred; experience directly managing data engineering teams is a plus.
- Deep knowledge of enterprise reporting, business intelligence, data integration, source-to-target mapping, data quality, data governance, master data, and KPI design.
- Strong understanding of healthcare or home-based care operations, workforce and financial performance measures, and forecasting methods.
- Ability to translate complex operational, workforce, clinical, and financial data into executive recommendations, business cases, and measurable improvement initiatives.
- Strong technical understanding of data transformation, lineage, dimensional modeling, semantic layers, data warehouses, APIs, interfaces, reporting platforms, privacy, and security controls.
- Demonstrated ability to lead cross-functional transformation, manage competing priorities, influence executives, and drive adoption of standardized processes and analytics.
COMPENSATION
- Salary: $202,300 - $250,000
This role is bonus eligible based on individual and company performance.
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
BENEFITS
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
- Medical, Dental, and Vision insurance
- Employer Paid Basic Life Insurance and AD&D
- Voluntary Life Insurance (Employee/Spouse/Child)
- Health Care and Dependent Care Flexible Spending Accounts
- Pre-Tax and Post-Tax Commuter and Parking Benefits
- 401(k) Retirement Savings Plan with Company Match
- Paid Time Off
- Paid Parental Leave
- Short-Term and Long-Term Disability
- Tuition Reimbursement
- Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)
Modivcare is an Equal Opportunity Employer.
EEO is The Law - click here for more information
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com
Data Analyst Job Roles in Colorado
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Search Data Analyst Jobs in ColoradoData Analyst Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for data analysts?
Colorado employers with documented H-1B visa sponsorship histories for data analyst roles include Lockheed Martin, Arrow Electronics, Dish Network, Centura Health, and various fintech firms in the Denver Tech Center. Boulder's tech community, anchored by companies like Zayo and Ibotta, also produces consistent sponsorship activity. Government contractors in the Colorado Springs area periodically sponsor analysts with clearance-eligible backgrounds.
What visa types are most common for data analyst roles in Colorado?
The H-1B is the most common visa for data analysts in Colorado, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or mathematics. Candidates from India and China often rely on H-1B. Those from Canada or Mexico may qualify for TN visa status under the USMCA. Australians can explore the E-3 visa as an alternative.
Which cities in Colorado have the most data analyst visa sponsorship jobs?
Denver accounts for the largest share of data analyst sponsorship activity in Colorado, particularly in the Denver Tech Center corridor and downtown. Boulder is a secondary hub driven by its university presence and startup ecosystem. Colorado Springs has demand tied to defense and government contracting. Fort Collins and Aurora have smaller but active hiring markets, often connected to healthcare and logistics.
How to find data analyst visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it more efficient than searching general job boards for data analyst roles in Colorado. You can filter by state and role to surface employers in Denver, Boulder, and beyond who have confirmed sponsorship willingness. Migrate Mate also surfaces employers with prior H-1B filing histories, which helps prioritize outreach to companies that have sponsored similar roles.
Are there any Colorado-specific factors that affect data analyst sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to post salary ranges publicly, which gives international candidates better visibility into whether an offered salary meets H-1B prevailing wage requirements before applying. The state's concentration of aerospace and defense employers also means some analyst roles require U.S. citizenship or permanent residency due to security clearance requirements, so it's worth confirming work authorization eligibility early in the process.
What is the prevailing wage for sponsored data 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.