Analytics Engineer Visa Sponsorship Jobs in Utah
Analytics engineer visa sponsorship jobs in Utah are concentrated in Salt Lake City and Lehi's Silicon Slopes corridor, where companies like Adobe, Qualtrics, and Domo have established analytics teams. Financial services firms and healthcare technology companies across the Wasatch Front also hire analytics engineers, making Utah one of the more active sponsorship markets for this role in the Mountain West.
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Get Access To All JobsCompany Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We’re looking for a Lead BI Analytics Engineer to drive the next evolution of our analytics ecosystem — empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization.
If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what’s possible in business intelligence (including responsible AI adoption), this role is for you.
What You’ll Do
- Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business.
- Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals.
- Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains.
- Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines.
- Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) — including governance, content strategy, performance optimization, and user enablement.
- Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks.
- Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting.
- Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities.
- Champion best practices in visualization design, storytelling, and performance tuning.
- Evaluate and introduce AI-driven efficiencies within the BI space — from intelligent data preparation to automated insights — while maintaining technical rigor and human oversight.
- Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality.
Ensure a culture of data trust, scalability, and continual improvement across the BI environment.
What You’ll Need
- 5+ years of experience in business intelligence engineering, data analytics, or a related technical field.
- Deep expertise in SQL — capable of building, optimizing, and mentoring on complex query logic and data modeling.
- Proficiency in Python for data processing, automation, and integration workflows.
- Expert-level skills in Tableau and Excel — capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.
- Proven experience in data modeling for analytics — star/snowflake schemas, semantic layers, and KPI standardization.
- Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.
- Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.
- Curiosity and openness to AI and automation — an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.
- Experience with R or Shiny is a plus.
- Excellent communication skills with the ability to translate complex data into clear, compelling business insights.
- A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.
Why Join Us:
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice.
Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We’re looking for a Lead BI Analytics Engineer to drive the next evolution of our analytics ecosystem — empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization.
If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what’s possible in business intelligence (including responsible AI adoption), this role is for you.
What You’ll Do
- Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business.
- Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals.
- Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains.
- Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines.
- Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) — including governance, content strategy, performance optimization, and user enablement.
- Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks.
- Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting.
- Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities.
- Champion best practices in visualization design, storytelling, and performance tuning.
- Evaluate and introduce AI-driven efficiencies within the BI space — from intelligent data preparation to automated insights — while maintaining technical rigor and human oversight.
- Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality.
Ensure a culture of data trust, scalability, and continual improvement across the BI environment.
What You’ll Need
- 5+ years of experience in business intelligence engineering, data analytics, or a related technical field.
- Deep expertise in SQL — capable of building, optimizing, and mentoring on complex query logic and data modeling.
- Proficiency in Python for data processing, automation, and integration workflows.
- Expert-level skills in Tableau and Excel — capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.
- Proven experience in data modeling for analytics — star/snowflake schemas, semantic layers, and KPI standardization.
- Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.
- Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.
- Curiosity and openness to AI and automation — an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.
- Experience with R or Shiny is a plus.
- Excellent communication skills with the ability to translate complex data into clear, compelling business insights.
- A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.
Why Join Us:
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice.
Analytics Engineer Job Roles in Utah
See all 39+ Analytics Engineer Jobs in Utah
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Search Analytics Engineer Jobs in UtahAnalytics Engineer Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Utah?
Adobe, Qualtrics, Domo, and Pluralsight are among the established Utah tech employers with track records of H-1B visa sponsorship for data and analytics roles. Financial services firms like Goldman Sachs (which has a Salt Lake City office) and healthcare technology companies operating along the Wasatch Front also sponsor analytics engineers. Sponsorship willingness varies by role seniority and team budget, so it's worth checking each employer's LCA filings on the Department of Labor's disclosure database.
Which visa types are most common for analytics engineer roles in Utah?
The H-1B is the most common visa category for analytics engineers in Utah, as the role typically meets the specialty occupation requirement through a degree in computer science, information systems, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension can work before H-1B sponsorship begins. The O-1A is an option for candidates with demonstrable distinction in their field, though it requires substantial supporting documentation.
Which cities in Utah have the most analytics engineer sponsorship jobs?
Salt Lake City and Lehi account for the majority of analytics engineer sponsorship activity in Utah. Lehi's Silicon Slopes technology corridor hosts a dense cluster of software and SaaS companies, many of which maintain dedicated analytics engineering teams. Provo and Draper also see meaningful hiring activity, largely driven by the University of Utah and Brigham Young University supplying technical talent that attracts employers willing to sponsor international candidates for follow-on roles.
How to find analytics engineer visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically for visa sponsorship, so you can search analytics engineer roles in Utah without sorting through positions that don't sponsor. The platform surfaces employers in Salt Lake City, Lehi, and across Silicon Slopes who have active sponsorship histories. Filtering by role and state on Migrate Mate gives you a focused list of opportunities relevant to your visa situation rather than a broad, unfiltered feed.
Are there state-specific factors analytics engineers should know about the Utah job market?
Utah's analytics engineering market benefits from a strong university pipeline, particularly from the University of Utah's data science programs and BYU's information systems graduates, which has encouraged employers to build out structured hiring processes familiar to international candidates. The state has no additional local sponsorship requirements beyond federal standards. However, prevailing wage levels for analytics engineers in the Salt Lake City metropolitan area are set by the Department of Labor and must be met by sponsoring employers, which influences where companies choose to hire.
What is the prevailing wage for sponsored analytics engineer 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.