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Data Integrity Analyst Jobs in Utah (NOW HIRING)

Navitas Semiconductor

We are seeking a detail-oriented and analytical Human Resources Operations Analyst to support the ... This role will be responsible for maintaining HR data integrity, supporting core employee lifecycle ...

Thrive Foods

MRP Analyst

American Fork, UT · On-site

$23.75 - $29.25/hr

Identify and resolve data integrity issues impacting planning outputs (lead times, BOMs, demand ... Strong analytical skills with experience in Excel and data management * Ability to manage multiple ...

World Wide Technology

$65K - $80K/yr

The role will focus on analyzing and optimizing functionality to drive customer success and data integrity. Utilizing data-driven insights and feedback, you will map our digital touchpoints to ...

World Wide Technology

$65K - $80K/yr

The role will focus on analyzing and optimizing functionality to drive customer success and data integrity. Utilizing data-driven insights and feedback, you will map our digital touchpoints to ...

World Wide Technology

$65K - $80K/yr

The role will focus on analyzing and optimizing functionality to drive customer success and data integrity. Utilizing data-driven insights and feedback, you will map our digital touchpoints to ...

World Wide Technology

$65K - $80K/yr

The role will focus on analyzing and optimizing functionality to drive customer success and data integrity. Utilizing data-driven insights and feedback, you will map our digital touchpoints to ...

Budget Rent a Car

Revenue Analyst

Salt Lake City, UT · On-site

$60K/yr

Maintain accurate records and ensure data integrity. * Collaborate with team members on revenue management initiatives. * Assist with additional analytical projects as assigned. Schedule This ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems. * Work closely with data analysts and other engineers to support data-driven initiatives ...

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Data Integrity Analyst information

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$44

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How much do data integrity analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data integrity 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 is a data integrity analyst?

A Data Integrity Analyst is a professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They monitor data quality, identify and resolve inconsistencies or errors, and implement processes to maintain high data standards. Data Integrity Analysts often work closely with IT, data management, and business teams to develop and enforce data governance policies. Their role is essential for organizations that rely on accurate data for decision-making, compliance, and operational efficiency.

What does a data integrity analyst do?

Data integrity analysts manage the security of their company’s data. As a data integrity analyst, you monitor access to information, ensuring that files are only viewed by those authorized to utilize them and that the data is used properly. You also regularly check that the firewall and security systems at the company are up-to-date and still effective in preventing security breaches. Data integrity analysts may work in an office or technical center and must be willing to hold employees accountable for any infractions against data policy.

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

To thrive as a Data Integrity Analyst, you need strong analytical abilities, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Proficiency with database management systems (such as SQL), data quality tools, and knowledge of data governance frameworks is typically required. Strong problem-solving, communication, and organizational skills help analysts effectively identify and resolve data discrepancies. These skills ensure the reliability and accuracy of data, which is critical for informed decision-making and maintaining regulatory compliance.

How does a data integrity analyst typically collaborate with other teams within an organization?

Data Integrity Analysts often work closely with IT, data engineering, and business operations teams to ensure that data remains accurate, consistent, and secure throughout its lifecycle. They participate in regular meetings to discuss data quality issues, share findings from audits, and recommend process improvements. Effective communication skills are essential, as analysts frequently translate technical data integrity concepts for non-technical stakeholders and help implement best practices across departments.

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

AspectData Integrity AnalystData Quality Analyst
CertificationsCertified Data Management Professional (CDMP), Data Management certificationsData Quality certifications, Data Management certifications
Work EnvironmentIT departments, data warehouses, compliance teamsBusiness units, analytics teams, data governance
Employer & Industry UsageFinance, healthcare, technologyRetail, marketing, finance

Both roles focus on data accuracy and reliability but differ in scope. Data Integrity Analysts primarily ensure data remains accurate, consistent, and secure across systems. Data Quality Analysts focus on assessing and improving data quality metrics to support business decisions. While overlapping, their specific responsibilities and environments distinguish them.

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Data Integrity Analyst jobs near you
Infographic showing various Data Integrity Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $91,711 per year, or $44.1 per hour.

Data Conversion Analyst

The Church of Jesus Christ of Latter-day Saints

Salt Lake City, UT • Hybrid

Full-time

Posted 11 days ago

Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 83 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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