Remote Data Quality Analyst Jobs
Remote Data Quality Analyst jobs are in active demand across the U.S., with remote-first companies and distributed teams hiring for data validation, pipeline monitoring, and data governance roles in sectors like technology, financial services, and healthcare. Employers currently hiring remote data quality analysts include ICF, CSpring, and Teledyne FLIR. Scan the live roles below and apply to whichever ones fit.
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Triumph Enterprises, Inc. is recruiting a Senior Data Quality Analyst for our proposed support to the Department of Veterans Affairs (VA) Office of Information and Technology (OIT), Office of the Chief Data and Analytics Officer (OCDAO). This position is contingent upon contract award. Remote work from anywhere in the United States, with occasional travel to Washington, DC.
ABOUT THE WORK
Senior Data Quality Analysts run data quality rules, profiling and scorecards across OCDAO's enterprise data catalog and support data stewards and senior analytics work.
WHAT YOU WILL DO
- Define and run data quality rules, profiling and scorecards
- Investigate data defects with data stewards and owners
- Report data quality trends and remediation progress
- Support senior data analysis for the integrator work stream
MINIMUM QUALIFICATIONS
- U.S. citizenship required
- Able to obtain and keep a VA Tier 1 / Low Risk background investigation and complete VA privacy and security training
- High school diploma or GED
- 10+ years of data analysis or data quality
PREFERRED QUALIFICATIONS
- Data quality scorecards and data stewardship programs
- Enterprise data catalog tools (for example Collibra)
- Federal or VA data programs
SCHEDULE AND LOCATION
Four positions are full-time and one is half-time. Remote within the United States; Eastern business hours; occasional travel to Washington, DC. Anticipated start February 2027.
WHY TRIUMPH
Triumph Enterprises, Inc. is a Service-Disabled Veteran-Owned Small Business headquartered in Fairfax, Virginia, operating under an ISO 9001:2015-certified quality management system. We price our work based on local market wages, ensuring we fairly compensate our team rather than paying the bare minimum.
Triumph Enterprises, Inc. is an Equal Opportunity Employer. We hire strictly on the basis of qualifications and merit, providing equal consideration to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Triumph Enterprises, Inc. is recruiting a Senior Data Quality Analyst for our proposed support to the Department of Veterans Affairs (VA) Office of Information and Technology (OIT), Office of the Chief Data and Analytics Officer (OCDAO). This position is contingent upon contract award. Remote work from anywhere in the United States, with occasional travel to Washington, DC.
ABOUT THE WORK
Senior Data Quality Analysts run data quality rules, profiling and scorecards across OCDAO's enterprise data catalog and support data stewards and senior analytics work.
WHAT YOU WILL DO
- Define and run data quality rules, profiling and scorecards
- Investigate data defects with data stewards and owners
- Report data quality trends and remediation progress
- Support senior data analysis for the integrator work stream
MINIMUM QUALIFICATIONS
- U.S. citizenship required
- Able to obtain and keep a VA Tier 1 / Low Risk background investigation and complete VA privacy and security training
- High school diploma or GED
- 10+ years of data analysis or data quality
PREFERRED QUALIFICATIONS
- Data quality scorecards and data stewardship programs
- Enterprise data catalog tools (for example Collibra)
- Federal or VA data programs
SCHEDULE AND LOCATION
Four positions are full-time and one is half-time. Remote within the United States; Eastern business hours; occasional travel to Washington, DC. Anticipated start February 2027.
WHY TRIUMPH
Triumph Enterprises, Inc. is a Service-Disabled Veteran-Owned Small Business headquartered in Fairfax, Virginia, operating under an ISO 9001:2015-certified quality management system. We price our work based on local market wages, ensuring we fairly compensate our team rather than paying the bare minimum.
Triumph Enterprises, Inc. is an Equal Opportunity Employer. We hire strictly on the basis of qualifications and merit, providing equal consideration to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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Find JobsRemote Data Quality Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data quality analyst jobs.
- Proficiency in SQL for querying and validating large datasets
- Experience with data profiling, cleansing, and transformation tools such as Informatica, Talend, or dbt
- Familiarity with data governance frameworks and metadata management practices
- Bachelor's degree in computer science, information systems, statistics, or a related field
- Ability to write and maintain data quality rules, scorecards, and documentation
- Experience working with BI or reporting platforms such as Tableau, Power BI, or Looker
Tips for Your Remote Data Quality Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data quality analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote roles at in-demand companies fill fast, so applying within the first few days of a posting gives you a real advantage.
Build a portfolio of data quality work
Remote employers can't watch you work, so your portfolio does the talking. Document two or three data validation or cleansing projects that show your SQL logic, the quality issues you found, and how you fixed them. Even personal or open-dataset projects count.
Prove async communication on your resume
Remote data quality analyst teams run on written communication. Mention specific tools you've used for async collaboration like Confluence, Jira, or Notion, and describe how you documented data issues or communicated findings to non-technical stakeholders without a meeting.
Prepare for a remote technical screen
Remote interviews for data quality analyst roles almost always include a SQL assessment or a take-home data profiling exercise. Practice writing queries that identify duplicates, nulls, and referential integrity violations. Walk through your reasoning in writing, not just your final answer.
Remote Data Quality Analyst Jobs: Frequently Asked Questions
How do I get a remote data quality analyst job?
Target remote-first companies and distributed engineering or data teams, since they're structured to onboard and manage remote data quality analysts from day one. Remote employers screen hard for self-direction, clear written communication, and hands-on skills in SQL, data profiling tools, and documentation. Candidates who can show completed data quality projects, explain their validation logic in writing, and demonstrate async collaboration habits stand out.
Which companies hire remote data quality analysts?
Employers currently hiring remote data quality analysts include ICF, CSpring, and Teledyne FLIR, per current remote listings on Migrate Mate as of November 2026. Remote openings tend to concentrate at remote-first software companies, distributed fintech and healthtech teams, and large enterprises running cloud-based data platforms across multiple locations.
Can you get a remote data quality analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Small SaaS companies and startups with lean data teams occasionally hire entry-level remote data quality analysts. Building a portfolio of data cleaning and validation projects, earning a SQL or data certification, and demonstrating strong written communication skills can open the door.
Do you need a degree for remote data quality analyst jobs?
Not always. Many remote employers weigh demonstrated SQL proficiency, experience with data profiling or ETL tools, and a portfolio of validation work as heavily as a formal degree. A degree in a quantitative or technical field helps for mid-level roles, but candidates who can show clean, documented data quality work and clear analytical thinking regularly compete without one.
Which industries hire the most remote data quality analysts?
The sectors hiring the most remote data quality analysts are Technology & Software, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams managing large, cross-functional datasets, which makes remote data quality analysts a practical fit for their workflows.
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