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Data Validation Jobs in Atlanta, GA (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:

Data Reporting Analyst

Atlanta, GA ยท On-site

$55 - $65/hr

Implement data quality checks, reconciliation logic, and validation rules across pipelines * Support ad-hoc data requests and analysis from program leadership * Document data definitions, lineage ...

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 ...

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

Data Analyst II

Alpharetta, GA ยท On-site

$59K - $98K/yr

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

Showing results 21-40

Data Validation information

See Atlanta, GA salary details

$21

$50

$75

How much do data validation jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data validation in Atlanta, GA is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $60.82 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 Atlanta, GA? The most popular types of Data Validation jobs in Atlanta, GA are:
What job categories do people searching Data Validation jobs in Atlanta, GA look for? The top searched job categories for Data Validation jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Validation jobs? Cities near Atlanta, GA with the most Data Validation job openings:
Infographic showing various Data Validation job openings in Atlanta, GA as of August 2026, with employment types broken down into 70% Full Time, 6% Part Time, 3% Temporary, and 21% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $104,005 per year, or $50 per hour.

Senior Business Analyst - Retail Data Products

Brown & Brown Insurance

Sandy Springs, GA โ€ข On-site

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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 aSenior 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".