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Data Integrity Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Quality Analyst

Saint Louis, MO · On-site

... integrity, and reliability of outbound data feeds, regulatory submissions, and vendor deliverables. As senior contributors, you will define quality strategies, mentor junior analysts, and collaborate ...

DTCC

Data Integrity Senior Analyst

Tampa, FL · On-site

$81K - $102K/yr

As a Data Integrity Senior Analyst, complete operational processes by following documented procedures, and identify process improvements. * Analyze data quality exceptions, perform root cause ...

New

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Perform regular audits to verify data integrity across systems * Automate data quality checks where possible using tools and scripts Required Qualifications * Bachelor's degree in data Analytics ...

Watts

Data Quality Analyst

Andover, MA · On-site

$24 - $30/hr

Perform regular audits to verify data integrity across systems * Automate data quality checks where possible using tools and scripts Required Qualifications * Bachelor's degree in data Analytics ...

DTCC

Data Integrity Senior Analyst

Tampa, FL · On-site

$78K - $98K/yr

As a Data Integrity Senior Analyst, complete operational processes by following documented procedures, and identify process improvements. * Analyze data quality exceptions, perform root cause ...

New

DTCC

Data Integrity Senior Analyst

Coppell, TX · On-site

$80K - $100K/yr

As a Data Integrity Senior Analyst, complete operational processes by following documented procedures, and identify process improvements. * Analyze data quality exceptions, perform root cause ...

New

DTCC

Data Integrity Senior Analyst

Coppell, TX · On-site

$80K - $100K/yr

As a Data Integrity Senior Analyst, complete operational processes by following documented procedures, and identify process improvements. * Analyze data quality exceptions, perform root cause ...

New

DTCC

Data Integrity Senior Analyst

Coppell, TX · On-site

$80K - $100K/yr

As a Data Integrity Senior Analyst, complete operational processes by following documented procedures, and identify process improvements. * Analyze data quality exceptions, perform root cause ...

New

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

... and integrity. You take initiative, set goals, and solve problems while collaborating with ... Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong ...

CAPTRUST

Data Quality Analyst

Raleigh, NC · On-site

CAPTRUST is seeking a Data Quality Analyst to lead the firm's data quality program. This Analyst ... High standard of professionalism, integrity, and accountability. WHAT can you expect from your ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Handle data efficiently, ensuring its integrity throughout the workflow. * Engage in data relevance ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Handle data efficiently, ensuring its integrity throughout the workflow. * Engage in data relevance ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

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Data Integrity Analyst information

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$20

$48

$71

How much do data integrity analyst jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data integrity analyst in the United States is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $60.34 per hour, depending on experience, location, and employer.

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.

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 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 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.

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 the United States as of July 2026, with employment types broken down into 82% Full Time, 2% Temporary, and 16% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $100,740 per year, or $48.4 per hour.
Data Quality Analyst

Data Quality Analyst

Welocalize, Inc.

San Francisco, CA

Full-time

Re-posted 29 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

361st of 451 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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