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Data Validation Jobs in Georgia (NOW HIRING)

Data Entry

Smyrna, GA ยท On-site

$16.75 - $22.25/hr

Familiarity with data validation and reporting processes. Day-to-Day Responsibilities * Accurately enter, update, and maintain data in company databases and systems. * Review and verify information ...

AWS Data Engineer

Atlanta, GA ยท Remote

$112K - $134K/yr

Perform data cleansing, data validation etc \n \n \n 3. Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, athena, s3, EC2, IAM, Monitoring ...

Principal Data Engineer

Alpharetta, GA ยท On-site

$107K - $129K/yr

Validate and test business intelligence reports built with SSRS, Tableau, and Sigma, ensuring data accuracy and alignment with requirements. Develop and enhance test frameworks for ETL processes ...

Perform ETL, data warehouse, and source-to-target validation testing. * Write complex SQL queries for data validation and reconciliation. * Automate data testing and validation scripts using Python.

Support ETL/ELT processes, data validation, and data performance tuning. Business Intelligence & Reporting * Develop and maintain enterprise dashboards using Power BI . * Create semantic models using:

Validate data flows across EDI, API, file-based, and middleware integrations * Analyze defects, troubleshoot integration issues, and perform root cause analysis * Support trading partner onboarding ...

Data Engineer

Atlanta, GA ยท On-site

$87K - $157K/yr

Validate migrated datasets through automated reconciliation and data quality testing. * Partner with business analysts, data scientists, and application teams to ensure functional equivalence between ...

Data Engineer

Atlanta, GA ยท On-site

$87K - $157K/yr

Validate migrated datasets through automated reconciliation and data quality testing. * Partner with business analysts, data scientists, and application teams to ensure functional equivalence between ...

Showing results 21-40

Data Validation information

See Georgia salary details

$19

$43

$65

How much do data validation jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data validation in Georgia is $43.90, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $53.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
What are the most commonly searched types of Data Validation jobs in Georgia? The most popular types of Data Validation jobs in Georgia are:
What job categories do people searching Data Validation jobs in Georgia look for? The top searched job categories for Data Validation jobs in Georgia are:
What cities in Georgia are hiring for Data Validation jobs? Cities in Georgia with the most Data Validation job openings:
Infographic showing various Data Validation job openings in Georgia as of August 2026, with employment types broken down into 31% Full Time, and 69% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,322 per year, or $43.9 per hour.

Senior Business Analyst - Retail Data Products

Brown & Brown, Inc.

Sandy Springs, GA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Brown & Brown is seeking a Senior Business Analyst - Retail Data Products to join our growing team in Atlanta, GA, Dallas, TX, or Daytona Beach, FL.
This role will support the design, delivery, governance, and quality of enterprise data products and analytics solutions. This role bridges business and technology, translating requirements into scalable data solutions while ensuring high data quality, trusted KPIs, and governed, self-service analytics. The analyst will partner closely with Data Product Leads, Data Engineering, business stakeholders, and third-party partners, playing a critical role in enabling data-driven decision-making across the enterprise.
How You Will Contribute:
Requirements & Data Product Delivery
Partner with stakeholders to elicit, document, and prioritize data and analytics requirements
Translate business needs into:
  • User stories

  • Data definitions and mappings

  • Acceptance criteria

Support design and delivery of:
  • Data pipelines

  • Curated datasets

  • Data products

Participate in Agile delivery processes (backlog grooming, sprint planning, prioritization)
Act as the voice of the customer for data teams
Data Analysis & Validation
Perform hands-on data analysis using SQL
Validate and reconcile data across systems
Conduct root-cause analysis for data issues and discrepancies
Support ad hoc analysis, KPI validation, and business insights
Deliver analytics for operational, financial, and strategic decision-making
Data Quality & Governance
Own and enforce data quality standards and governance frameworks
Define and monitor:
  • Data quality rules and KPIs

  • Data SLAs and controls

Maintain:
  • Data dictionaries

  • KPI catalog

  • Business glossaries

  • Lineage documentation

Lead governance processes include:
  • Data stewardship workflows

  • Issue intake, triage, and resolution

  • Governance forums and audits

Ensure compliance with regulatory and data policies
Testing, Release & SDLC Execution
Develop and execute:
  • Test plans

  • UAT and regression testing

  • Data reconciliation processes

Validate datasets, transformations, and reporting outputs before release
Support release management and documentation
Ensure adherence to a governed SDLC
Data Platform & Partner Oversight
Collaborate with data engineering teams and external partners
Validate data models and transformations
Ensure delivered data assets align with business requirements and governance standards
Act as liaison between business, IT, and data partners
Documentation & Standards
Create and maintain comprehensive documentation for:
  • Data models

  • KPIs

  • Transformations

  • Data contracts

Establish and enforce:
  • Naming conventions

  • Certification standards

  • Technical documentation practice

Change Management & Business Enablement
Drive adoption of self-service analytics and governed datasets
Lead training and enablement sessions for business users
Improve data literacy across functions
Support change management initiatives and governance adoption
Cross-Functional Collaboration
Partner with:
  • Data Engineers, Data Scientists, Enterprise

  • Finance, Sales, Operations, Marketing

  • IT and Architecture teams

Communicate project status, risks, and insights to stakeholders
Lead meetings, resolve issues proactively, and drive alignment
Skills & Experience to be Successful:
Required
Bachelor's degree in Analytics, Information Systems, Computer Science, or related field
5-8+ years in business/data analysis, BI, or data product support roles
Strong SQL and data analysis skills
Experience with:
  • Data platforms

  • Data warehousing and modeling concepts

Hands-on experience with:
  • Requirements gathering

  • Agile delivery (user stories, backlog management)

  • Data validation and reconciliation

Knowledge of:
  • Data governance, lineage, metadata

  • Data quality frameworks and KPIs

Strong communication and stakeholder management skills
Preferred
Experience with Cloud Platforms focusing on Data, AI & Analytics product outcomes
Exposure to:
  • ETL/ELT tools

  • Data catalog/governance tools

Experience working with third-party data partners
Industry experience (Insurance, Finance, or similar data-heavy environments)
Familiarity with MDM concepts (customer master, deduplication, golden records)
Exposure to AI/ML-ready data ecosystems
Strong analytical thinking and problem-solving
Ability to translate between business and technical teams
Attention to detail in data validation and governance
Self-directed execution and ownership mindset
Influence without authority across cross-functional stakeholders
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
  • Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
  • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
  • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
  • Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.
Recruiting Vendor Disclosure Statement
Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.
The Power To Be Yourself
As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, "The Power to Be Yourself".