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Data Quality Analyst Jobs in Utah (NOW HIRING)

Support data quality efforts by flagging inconsistencies and helping document known issues. * Conduct moderately complexanalyses such as correlation, trend forecasting, and variance analysis to ...

Data Analytics L1(CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 7/30 ... Data models, Data pipelines, Data mappings Data quality concepts: - Completeness, accuracy ...

Support data quality efforts by flagging inconsistencies and helping document known issues. * Conduct moderately complex analyses such as correlation, trend forecasting, and variance analysis to ...

Support data quality efforts by flagging inconsistencies and helping document known issues.  * Conduct moderately complex analyses such as correlation, trend forecasting, and variance analysis to ...

Assess data quality and functionality. * Present findings in various formats to stakeholders. Must ... Experience in developing analytical methodologies. Industry Experience: Experience in e-commerce or ...

Coordinate with Program Managers, Functional Managers, Integrated Product Teams (IPTs), Quality ... contracting, limited data analyses, database development or data gathering, preparation of ...

Coordinate with Program Managers, Functional Managers, Integrated Product Teams (IPTs), Quality ... contracting, limited data analyses, database development or data gathering, preparation of ...

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.

This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.

Showing results 21-40

Data Quality Analyst information

See Utah salary details

$19

$44

$64

How much do data quality analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data quality analyst in Utah is $44.09, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $54.95 per hour, depending on experience, location, and employer.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

What are the key skills and qualifications needed to thrive as a data quality analyst, and why are they important?

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What is the difference between Data Quality Analyst vs Data Analyst?

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

What are the most commonly searched types of Data Quality Analyst jobs in Utah?

The most popular types of Data Quality Analyst jobs in Utah are:

What cities in Utah are hiring for Data Quality Analyst jobs?

Cities in Utah with the most Data Quality Analyst job openings:

What are popular job titles related to Data Quality Analyst jobs in UT?

For Data Quality Analyst jobs in UT, the most frequently searched job titles are:

Infographic showing various Data Quality Analyst job openings in Utah as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,711 per year, or $44.1 per hour.

Full-time

Posted 9 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

We are seeking a meticulous and proactive Data Cleansing and Certification Analyst to join our global ERP digital transformation team. The successful candidate will focus on data cleansing and certification throughout the data conversion lifecycle, ensuring the accuracy, integrity, and quality of data migrated into the new ERP platform. This role is hybrid, with an expectation to be in the office at least 60-70% of the week. 
 

This role requires exceptional analytical thinking, attention to detail, professional judgment, and adherence to standardized methodologies to ensure data conversion activities remain accurate, transparent, and audit-ready throughout the ERP implementation lifecycle.

SUCCESS IN THIS ROLE INCLUDES 
 

  • Producing accurate, repeatable, and well-documented validation results.

  • Following established methodologies while exercising sound professional judgment.

  • Working independently while appropriately escalating risks or uncertainties.

  • Maintaining organized and audit-ready work products.

  • Communicating proactively and collaborating effectively across functional teams.

  • Continuously improving technical knowledge while supporting standardized team practices.

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.
  • Bachelor's degree in Business Administration.  Accounting, Computer Science, Information Technology, or a related field.

  • 4+ years of experience in data management, data conversion, or a related role.

  • Demonstrated advanced proficiency in Microsoft Excel, including complex formulas, data analysis, and Power Query. 

  • Experience supporting data conversion projects, preferably within a large-scale ERP implementation.

  • Strong analytical reasoning skills with the ability to distinguish root causes from symptoms and evaluate data objectively.

  • Proficiency in data management tools and software.

  • Strong communication and interpersonal skills.

  • Demonstrated ability to quickly learn new business processes, data structures, and enterprise applications.

  • Demonstrated exceptional attention to detail and ability to identify inconsistencies, anomalies, and potential data quality issues.

  • Ability to independently execute assigned work while exercising sound judgment regarding when to proceed, when to seek clarification, and when to escalate risks or unresolved issues.

  • Ability to work effectively in evolving environments where requirements mature over time while maintaining adherence to documented processes.

PREFERRED QUALIFICATIONS

  • Certification in data management or related fields.

  • Experience with ERP systems such as PeopleSoft, SAP, Oracle Fusion, or Microsoft Dynamics.

  • Familiarity with defect tracking systems and best practices.

  • Accounting experience a plus.

Data Conversion Procedures: 

  • Support data conversion activities from data cleansing and extraction through business validation.

  • Assist in developing conversion procedures and tools that support data quality and validation objectives. 
     

Data Validation and Documentation: 

  • Perform rigorous business validation processes to ensure data accuracy and completeness throughout the conversion process.

  • Identify, investigate, and resolve data-related issues. 

  • Maintain complete, organized, and auditable documentation that enables another analyst or auditor to independently understand, reproduce, and verify validation results.

Quality Assurance and Validation Integrity: 

  • Triage and track issues or defects, collaborating with workstream teams to drive resolution throughout the data cleansing and validation process.

  • Execute validation activities using established methodologies, approved tools, and documented procedures.

  • Escalate risks, unresolved issues, and process concerns as appropriate. 
     

Certification: 

  • Participate in formal certification activities by validating that converted data meets established quality, completeness, and business acceptance criteria.

  • Prepare validation evidence and supporting documentation required for certification reviews. 
     

Communication and Continuous Improvement: 

  • Provide stakeholders with timely updates regarding data cleansing progress, risks, and issue resolution efforts. 

  • Recommend process improvements supported by analysis and aligned with established team standards. 
     

Professional Ownership: 

  • Take ownership of assigned validations from planning through completion, proactively identifying risks, communicating status, and delivering high-quality work products that are complete and presentation-ready.

KEY CHALLENGES 
 

  • Managing the complexity of data from multiple legacy systems while ensuring seamless integration into the new system.

  • Identifying, documenting, and resolving data discrepancies throughout the cleansing, certification, and post-conversion validation processes when working with tight deadlines and across multiple teams. 


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