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Data Integrity Analyst Jobs in Georgia (NOW HIRING)

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Document data specifications and maintain data integrity throughout analysis lifecycle Predictive Validity & Outcome Analysis * Execute concurrent & predictive validity studies using established ...

Scalence L.L.C.

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

... analysis, and ensuring model alignment with business needs. Responsibilities : • Design and ... data integrity, governance, quality, and robust metadata management. • Translated complex ...

CYNET SYSTEMS

Data QA Engineer

Alpharetta, GA · On-site

$70/hr

Ability to validate data integrity and consistency. * Familiarity with statistical analysis and anomaly detection. * Experience in business rule validation and logical analysis. Responsibilities:

Scalence L.L.C.

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

... analysis and ensure model alignment with business needs. • Engineered scalable ER models ... integrity, governance, quality, and robust metadata management • Translated complex business ...

Heico

Data Analyst

Rockmart, GA · On-site

This role is responsible for ensuring data accuracy, integrity, and accessibility enabling the ... Perform data analysis to identify trends, anomalies, and opportunities for improvement

HEICO

Data Analyst

Rockmart, GA · On-site

This role is responsible for ensuring data accuracy, integrity, and accessibility enabling the ... Perform data analysis to identify trends, anomalies, and opportunities for improvement

HEICO

Data Analyst

Rockmart, GA · On-site

This role is responsible for ensuring data accuracy, integrity, and accessibility enabling the ... Perform data analysis to identify trends, anomalies, and opportunities for improvement

KNAPP

Customs Data and System Analyst

Kennesaw, GA · On-site

WHAT YOU GET TO DO The Customs Data and System Analyst supports trade compliance and financial data ... integrity for drawback claims * Oversee SAP data maintenance and governance efforts related to ...

Adisseo France S.A.S

Business Analyst

Alpharetta, GA · On-site

About the Role The Business Analyst generates timely, accurate financial and managerial reports ... Ensure data integrity across SAP systems (FI, CO, SD, Logistics, BI). * Support accounting ...

Norlox Solutions LLC

Data Analyst

Alpharetta, GA · On-site

... integrity. · Document data definitions, processes, and reporting standards. Required Qualifications: · Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business ...

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Data Integrity Analyst information

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How much do data integrity analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data integrity analyst in Georgia is $40.90, according to ZipRecruiter salary data. Most workers in this role earn between $29.23 and $50.96 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.

More about Data Integrity Analyst jobs
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Data Integrity Analyst jobs near you
Infographic showing various Data Integrity Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,064 per year, or $40.9 per hour.

Senior Data Science Analyst

Harver

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Re-posted 9 days ago

Job description

About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company's portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.
At Harver, we are:
  • Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
  • Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
  • Curious: We embrace curiosity as a driving force for continuous learning and innovation.

Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies-from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
Client Data Management
  • Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
  • Clean and standardize diverse data formats from enterprise HRIS and ATS systems
  • Match client candidate records with Harver assessment data with high accuracy
  • Troubleshoot data quality issues and communicate data requirements to clients
  • Document data specifications and maintain data integrity throughout analysis lifecycle

Predictive Validity & Outcome Analysis
  • Execute concurrent & predictive validity studies using established statistical frameworks
  • Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
  • Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
  • Perform disparate impact analyses to ensure assessment fairness
  • Generate client-ready reports and visualizations communicating technical findings to business stakeholders

Technical & Collaboration
  • Query and analyze data using Looker and SQL from internal databases
  • Collaborate with Data Scientists on methodology refinement and framework improvements
  • Support Client Success teams with technical questions and ad-hoc analyses
  • Maintain analysis documentation and contribute to team knowledge base
  • Present findings to internal stakeholders and client-facing teams
  • Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
  • Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

We're looking for people who have:
  • 5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
  • Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
  • Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
  • Experience applying machine learning models as a user (model scoring, interpretation, validation)
  • Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
  • SQL proficiency for data extraction and transformation
  • Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
  • Strong communication skills-ability to explain technical concepts to non-technical audiences
  • Excellent attention to detail and commitment to data accuracy
  • Self-directed work style with ability to manage multiple client projects simultaneously

Preferred
  • Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
  • Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
  • Experience in HR analytics or workforce analytics
  • Experience with BI tools (Looker, Tableau, Power BI, or similar)
  • Background working with enterprise clients or in client-facing analytical roles
  • Knowledge of EEOC guidelines and employment law considerations in assessment validation

Why Join Harver:
  • Work with Fortune 500 clients on high-impact talent decisions
  • Collaborate with a senior team of data scientists and engineers
  • Contribute to cutting-edge work in AI-driven talent assessment
  • Opportunity to grow into more strategic or technical roles

Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta, GA, Chicago, IL and New Jersey.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.

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