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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INTRODUCTION
This role will provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. Access and integrate data for reporting to establish data standards, quality, and reliability. This role applies advance analytics, foundational data science techniques, and is responsible for generating insights and enhanced data-driven storytelling – while maintaining data quality and data governance.
Principles of Operation:
This level of Data Analyst will work on data coming from multiple systems, will integrate both structured and unstructured data for the creation and interpretation of standardized dashboards and reporting. They must be knowledgeable and have full understanding of the data lifecycle and the data relationships between various systems that allow integration. This level will also perform ad hoc, deep dive analytical analysis, and interpretation.
Responsibilities:
Understand the Data
- Defining what the data is, where it originates, how it is captured, and how it is consumed
- Document data definitions, lineage, and relationships across multiple systems
- Identify opportunities to apply basic data science techniques (e.g., clustering, trend analysis, text analysis) to improve understanding of business data
Data Quality Assessment
- Validation of data quality including sources, reliability, completeness, validity, and uniqueness
- Use AI-assisted profiling, statistical methods, and anomaly detection to uncover data issues
Organize the Data
- Design and maintain data models that support analytics, dashboards, and entry-level data science use cases
- Prepare datasets for exploration, feature analysis, and predictive modeling through effective structuring and aggregation
- Contribute to data warehouse and analytics platform design that supports analytics and machine-assisted modeling
Configuring Data for Access and Analysis
- Build queries, datasets, and feature-ready tables using SQL and Databricks
- Support exploratory data analysis (EDA), basic predictive modeling, and statistical testing under guidance
- Perform quality assurance on analytical datasets and models
Reporting, Visualization & Insight Development
- Translate business questions into dashboards, reports, and analytical summaries that are actionable and measurable
- Develop visualizations that explain both historical patterns and emerging trends or forecasts
QUALIFICATIONS
General Workforce Requirements
- Temple worthiness
- Regular attendance and timely arrival at assigned work location
Education:
- BS/BA Degree in mathematics, statistics, business information systems, or a related field
Work Experience:
- Minimum 5 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards
Demonstrated Skills & Abilities:
- Strong knowledge and skill in SQL, Databricks, AWS, Azure, and Tableau
- Writing of queries and reports using SQL
- Strong understanding of data structures and applying complex analysis of different statistical methodologies and data modeling
- Demonstrated ability to present data with awareness of the audience receiving the data
- Use of data to create visualizations that tell the data’s story, skillfully utilizing visual, written, and verbal communication methods
- Works with minimal to moderate oversight and meets established deadlines
- Delivers defined projects with regular oversight
- Thrives in both a team environment and as an individual contributor
Specific Degrees, Certifications, Licenses:
- Prefer data management, data quality, or data visualization certification
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings—giving Church members places to worship, teach, learn, and receive sacred ordinances—our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law. Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.
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 visa 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 visa 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.