Data Quality Analyst Jobs
Data Quality Analyst jobs are open across healthcare, finance, retail, and technology, from entry-level to senior and lead roles, with specializations in data governance, data validation, and master data management. Find a role that fits from the openings below and apply directly.
Find Data Quality Analyst JobsLooking for remote work? View remote data quality analyst jobs →Overview
Showing 5 of 74+ Data Quality Analyst jobs











Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.Position Summary
The Data Quality Analyst will support a Data Domain’s data governance and data quality activities, with a focus on translating business requirements into measurable, technical data quality controls. The role will design, develop, and test complex business data quality rules within the firm’s enterprise Data Quality platform, leveraging SQL to analyze, validate, and monitor data.
The position is well suited for someone with strong foundational data and analytical skills who wants to build broader experience across data quality, governance, metadata, lineage, analytics, enterprise data platforms, and emerging technologies.
Key Responsibilities
- Design, code, test, and maintain business data quality rules , including complex rules requiring SQL-based logic.
- Analyze datasets using SQL to understand data structures, relationships, patterns, anomalies, and potential data quality issues.
- Partner with business and technology stakeholders to translate business requirements into implementable data quality rules and controls.
- Investigate data quality exceptions and support root-cause analysis, remediation, monitoring, and reporting .
- Support broader domain governance activities, including metadata, lineage, data ownership, issue management, and governance deliverables .
- Document data quality requirements, technical logic, results, and analysis to provide clear traceability and support ongoing monitoring.
Qualifications
- Strong SQL and data analysis skills , including joins, aggregations, conditional logic, data validation, and analysis of complex datasets.
- Strong foundational understanding of relational databases, data models, data types, keys and relationships, data pipelines, and upstream/downstream data flows .
- Familiarity with data quality, metadata, lineage, data governance, and broader data management concepts .
- Strong analytical and problem-solving skills, including the ability to investigate data issues and translate business requirements into technical logic.
- Experience with data quality, data catalog, analytics, or data management platforms; Collibra or similar platform experience is beneficial but not required .
- Experience with business intelligence and visualization tools such as Tableau or Power BI is helpful but not required.
- Exposure to AI, Generative AI, or Large Language Models (LLMs) and their potential application to data and analytics use cases is helpful but not required.
- Strong attention to detail and communication skills, with the ability to collaborate across business, data, and technology teams .
- Intellectual curiosity and an interest in developing broad, modern data capabilities across analytics, governance, technology, and AI.
Education:
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience“Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.”
The typical base pay range for this role is as follows:
- New York / New Jersey: $103-121 K
depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package,
Our hybrid work schedule is four days on-site and work remotely one day per week.
MUFG Benefits Summary
Data Quality Analyst Jobs by Experience Level
See All 74 Data Quality Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Quality Analyst JobsData Quality Analyst Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Staffing & Recruiting
What Employers Look For
The qualifications that appear most often in 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 Data Quality Analyst Job Search
Tailor your resume to the stack
Data quality analyst job postings almost always name specific tools, SQL variants, or ETL platforms. Mirror the exact tool names from each posting in your resume's skills section so applicant tracking systems surface your application before a human even reviews it.
Quantify defect rates you've improved
Recruiters skim for impact numbers. Replace vague phrases like 'improved data quality' with concrete outcomes: defect rate reduced, records cleaned, or pipelines audited. Specifics around data volume or error frequency make your contributions impossible to ignore.
Apply early to roles that fit
Migrate Mate lists data quality analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by industry to target your experience
Data quality work in healthcare deals with HL7 and HIPAA compliance, while finance roles focus on regulatory reporting accuracy. Searching by industry lets you find postings where your domain-specific knowledge, not just your technical skills, is the differentiator.
Prepare a data audit walkthrough for interviews
Most data quality analyst interviews include a technical exercise or case question involving a messy dataset. Practice walking an interviewer through your audit methodology out loud: how you identify anomalies, prioritize fixes, and document findings for downstream teams.
Negotiate with data to back your ask
When discussing compensation, reference the certifications you hold, such as CDMP or DAMA credentials, and the scale of data environments you've managed. Framing your value in terms of systems and data volume you've owned strengthens a negotiation far more than tenure alone.
Data Quality Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data quality analysts?
The companies hiring the most data quality analysts right now include Intuit, OrganOx, and United States Courts, with the largest share of openings in California, Texas, and Georgia, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in industries with large regulated datasets, including healthcare systems, financial services, and enterprise technology companies.
How many data quality analyst jobs are remote?
About 75% of data quality analyst openings are fully remote or hybrid as of November 2026, reflecting how much of the work centers on querying databases and writing documentation rather than on-site system access. Roles focused on data governance, reporting, and pipeline monitoring tend to offer the most remote flexibility, while positions requiring hands-on integration with proprietary enterprise systems more often require on-site presence.
How do you become a data quality analyst?
Start by building foundational SQL skills and learning at least one data profiling or ETL tool like Talend or dbt. Study data governance concepts through resources aligned with DAMA frameworks. Build a portfolio by cleaning and documenting a public dataset, then articulate your process clearly. Entry-level roles in data operations or business intelligence often serve as a direct path into dedicated data quality positions.
Can you get a data quality analyst job with little experience?
Yes, entry-level data quality analyst roles exist, particularly at companies scaling their data infrastructure quickly. Employers hiring with less experience typically look for demonstrated SQL ability, attention to detail, and familiarity with spreadsheet-based data validation. A project where you audited, cleaned, or documented a real dataset, even a personal or academic one, carries more weight than a credential alone when experience is limited.
What does the data quality analyst interview process look like?
Most data quality analyst interviews start with a recruiter screen focused on your background and tool familiarity, followed by a technical round involving a SQL exercise, a data profiling scenario, or a case study using a sample dataset with intentional errors. A final round typically involves a hiring manager or team lead discussion covering your approach to data governance, documentation habits, and how you communicate quality issues to non-technical stakeholders.
Where can I find and apply to data quality analyst jobs?
You can find and apply to data quality analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and experience, then apply directly to each one that fits.
See All 74 Data Quality Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Quality Analyst Jobs