Data Analyst Visa Sponsorship Jobs in Utah
Data analyst visa sponsorship jobs in Utah are concentrated in Salt Lake City and Provo, where companies like Adobe, Qualtrics, and Domo have established significant analytics teams. Utah's growing tech sector, anchored by the Silicon Slopes corridor, creates steady demand for international data analysts across software, fintech, and healthcare data roles.
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Get Access To All JobsINTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. As a Lead Data Analyst, you will be the primary technical lead for our most significant clients and a driving force behind our team’s data and analytics excellence. You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable narratives. This role is designed for a self-starter who thrives in high-pressure environments, capable of leading high-priority projects with tight turnaround times, who can navigate sophisticated data landscapes, lead by example, and deliver high-impact presentations that influence decision-making.
ROLE AND RESPONSIBILITIES
Lead Strategic Reporting & Delivery: Own the end-to-end lifecycle of analytics for leadership and key stakeholders. You will ensure that high-impact reporting is not only delivered on schedule but is strategically aligned with clinical and financial objectives.
Direct Client Analytics Partnership: Serve as the primary analytics lead for top-tier client requests. You will move beyond requirement gathering to act as a consultant, designing solutions that solve complex healthcare business challenges and presenting these insights directly to key partners.
Technical Excellence & SQL Mentorship: Establish and uphold the standards for data integrity by leading peer code reviews. You will provide expert guidance on SQL optimization, complex logic validation, and adherence to rigorous data governance and compliance standards.
Advanced Project & Knowledge Management: Oversee the reporting roadmap and project lifecycle via Jira and Confluence. You will ensure transparent communication of project statuses, maintain technical documentation, and proactively identify risks to delivery timelines.
Key Stakeholder Communication: Act as the "voice of the data" for key stakeholders. You will translate dense healthcare findings into compelling narratives and high-level presentations, bridging the gap between technical complexity and business-critical decision-making.
Rapid Impact Assessment: Lead high-priority routine and ad-hoc analyses, including internal and external audits for clients delivering insights in accelerated timeframes when required.
* Architectural Gatekeeping: Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to move to automated, scalable solutions.
BASIC QUALIFICATIONS
At least 8 years of experience in healthcare analytics, with a specific emphasis on analyzing healthcare claims data, population health, and member experience.
Analytical Rigor: Strong critical thinking skills and a resourceful approach to professional development. We value candidates who take ownership of their learning, possess a high degree of initiative, and are committed to delivering results through diligent effort.
Strong critical thinking: resourcefulness, initiative, and ownership of professional development are valued. Candidates must be committed to diligent effort and delivering results.
Agility and Learning Velocity: Proven track record of mastering new data environments and complex healthcare schemas with minimal training.
Automation Mindset: Experience replacing manual hand-offs with automated triggers or self-serve tools.
Systemic Problem Solving: Proven ability to look across a portfolio of requests and identify the underlying data commonality to maximize impact of every tool or dashboard built.
Domain Expertise: Deep understanding of the claims lifecycle and nuances involved with reporting logic.
Technical Proficiency: Proven ability writing and optimizing SQL queries and experience building visualizations/models in Looker (or comparable tools like Tableau).
Industry Context: Experience working directly with health care claims and or member experience data at a payer provider, TPA, or Point Solution.
Project Management: Proficiency in Agile tools like Jira for task management and Confluence for process documentation.
Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and non-technical issues effectively to technical stakeholders.
Education: Bachelor’s degree in Mathematics, Economics, Statistics, Computer Science, Business Administration or a related quantitative field (or equivalent professional experience).
LOCATION
This is a hybrid position based out of one of our offices: San Francisco, CA, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.
COMPENSATION
San Francisco, CA Pay Range: $137,500—$171,875 USD
Lehi, UT Pay Range: $110,000—$137,500 USD
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 115,000 stock options and benefits like health insurance, 401k, and paid time off.
WHY JOIN US?
Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
Impactful projects that shape the future of our organization
Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
Flexible work arrangements and a supportive work-life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy.
INTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. As a Lead Data Analyst, you will be the primary technical lead for our most significant clients and a driving force behind our team’s data and analytics excellence. You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable narratives. This role is designed for a self-starter who thrives in high-pressure environments, capable of leading high-priority projects with tight turnaround times, who can navigate sophisticated data landscapes, lead by example, and deliver high-impact presentations that influence decision-making.
ROLE AND RESPONSIBILITIES
Lead Strategic Reporting & Delivery: Own the end-to-end lifecycle of analytics for leadership and key stakeholders. You will ensure that high-impact reporting is not only delivered on schedule but is strategically aligned with clinical and financial objectives.
Direct Client Analytics Partnership: Serve as the primary analytics lead for top-tier client requests. You will move beyond requirement gathering to act as a consultant, designing solutions that solve complex healthcare business challenges and presenting these insights directly to key partners.
Technical Excellence & SQL Mentorship: Establish and uphold the standards for data integrity by leading peer code reviews. You will provide expert guidance on SQL optimization, complex logic validation, and adherence to rigorous data governance and compliance standards.
Advanced Project & Knowledge Management: Oversee the reporting roadmap and project lifecycle via Jira and Confluence. You will ensure transparent communication of project statuses, maintain technical documentation, and proactively identify risks to delivery timelines.
Key Stakeholder Communication: Act as the "voice of the data" for key stakeholders. You will translate dense healthcare findings into compelling narratives and high-level presentations, bridging the gap between technical complexity and business-critical decision-making.
Rapid Impact Assessment: Lead high-priority routine and ad-hoc analyses, including internal and external audits for clients delivering insights in accelerated timeframes when required.
* Architectural Gatekeeping: Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to move to automated, scalable solutions.
BASIC QUALIFICATIONS
At least 8 years of experience in healthcare analytics, with a specific emphasis on analyzing healthcare claims data, population health, and member experience.
Analytical Rigor: Strong critical thinking skills and a resourceful approach to professional development. We value candidates who take ownership of their learning, possess a high degree of initiative, and are committed to delivering results through diligent effort.
Strong critical thinking: resourcefulness, initiative, and ownership of professional development are valued. Candidates must be committed to diligent effort and delivering results.
Agility and Learning Velocity: Proven track record of mastering new data environments and complex healthcare schemas with minimal training.
Automation Mindset: Experience replacing manual hand-offs with automated triggers or self-serve tools.
Systemic Problem Solving: Proven ability to look across a portfolio of requests and identify the underlying data commonality to maximize impact of every tool or dashboard built.
Domain Expertise: Deep understanding of the claims lifecycle and nuances involved with reporting logic.
Technical Proficiency: Proven ability writing and optimizing SQL queries and experience building visualizations/models in Looker (or comparable tools like Tableau).
Industry Context: Experience working directly with health care claims and or member experience data at a payer provider, TPA, or Point Solution.
Project Management: Proficiency in Agile tools like Jira for task management and Confluence for process documentation.
Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and non-technical issues effectively to technical stakeholders.
Education: Bachelor’s degree in Mathematics, Economics, Statistics, Computer Science, Business Administration or a related quantitative field (or equivalent professional experience).
LOCATION
This is a hybrid position based out of one of our offices: San Francisco, CA, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.
COMPENSATION
San Francisco, CA Pay Range: $137,500—$171,875 USD
Lehi, UT Pay Range: $110,000—$137,500 USD
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 115,000 stock options and benefits like health insurance, 401k, and paid time off.
WHY JOIN US?
Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
Impactful projects that shape the future of our organization
Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
Flexible work arrangements and a supportive work-life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy.
Data Analyst Job Roles in Utah
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Search Data Analyst Jobs in UtahData Analyst Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for data analysts in Utah?
Utah-based tech companies have a track record of sponsoring work visas for data analysts. Adobe's Lehi campus, Qualtrics, Domo, and Instructure have all filed Labor Condition Applications for analytics roles. Larger employers in healthcare data, such as Health Catalyst and Intermountain Health, also sponsor international candidates. Enterprise software companies concentrated in the Silicon Slopes corridor are generally your strongest targets.
Which visa types are most common for data analyst roles in Utah?
The H-1B is the most common visa for data analysts in Utah, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, mathematics, or computer science. Candidates from Australia may use the E-3 visa, which has no lottery. Canadian and Mexican nationals may qualify under the TN visa category for economists or statisticians, depending on the specific role definition.
Which cities in Utah have the most data analyst sponsorship jobs?
Salt Lake City and the surrounding Silicon Slopes corridor, which runs through Lehi, Draper, and Provo, account for the large majority of data analyst sponsorship jobs in Utah. Provo benefits from proximity to Brigham Young University and Utah Valley University, which generate strong local analytics talent pipelines and attract employers who are accustomed to hiring technically skilled candidates, including international applicants.
How to find data analyst visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse data analyst roles in Utah without sorting through positions that exclude international candidates. You can filter by state and role to surface openings at Utah employers with a history of sponsoring analysts. Checking employer LCA disclosure data through the Department of Labor can also help confirm which companies have sponsored similar roles previously.
Are there any Utah-specific considerations for data analysts seeking visa sponsorship?
Utah's prevailing wage requirements apply to all H-1B and E-3 petitions, meaning employers must pay at least the DOL-determined wage for data analyst roles in the relevant metro area. Salt Lake City and Provo have distinct prevailing wage levels, so the city where you'll work matters. Utah's university pipeline, particularly from the University of Utah's data science programs, means employers are familiar with hiring analysts on OPT, which can ease the path to full sponsorship.
What is the prevailing wage for sponsored data analyst jobs in Utah?
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.
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