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.
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Showing 5 of 924+ Data Quality Analyst jobs
Job Description
Requisition ID
94024
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview:
The Data Quality Analyst plays a key role in advancing New York Life’s data governance initiatives. This individual contributor role is responsible for designing, implementing, and optimizing data quality management solutions and data governance workflows using platforms such as Anomalo, Atlan and Unity Catalog.
Working closely with data product managers, business SMEs, and technology teams, the analyst enhances data quality, data discoverability/trust and compliance across the enterprise; supporting New York Life’s Data Strategy and enabling timely, data-driven decisions built on trusted information.
What You’ll Do:
- Working closely with Data Quality Product Owner, refine and execute the data quality management strategy.
- Assist with the implementation of data quality platforms, and document processes and standards.
- Collaborate with business data owners, stewards, data product managers, SMEs, and data engineers to drive alignment on data quality outcomes and adoption of data quality tools and processes.
- Assist in socializing our capabilities via roadshows, lunch and learns, training sessions, and user enablement/onboarding sessions.
- As a member of the Data Quality agile team, participate in, as well as occasionally lead Agile ceremonies (on rotation), taking an active role in prioritizing the backlog, managing the deliveries and soliciting/acting on stakeholder feedback.
What You’ll Bring:
- 7–10+ years of professional experience, including 5+ years in a data governance function.
- Bachelor’s degree in Business, Computer Science, Information Technology, or related field.
- Strong understanding of data governance frameworks, data quality management & remediation and metadata management concepts.
- Experience with data analysis, profiling, cleansing, standardization, and root cause analysis.
- Proven ability to translate business needs into governance policies, standards, and workflows.
- Excellent communication and collaboration skills and experience working across business and technical teams.
- Hands-on experience with Anomalo or similar data quality management tools. Familiarity with metadata management tools (e.g., Atlan).
- Strong SQL skills with the ability to analyze and validate data lineage.
- Experience applying governance frameworks, data quality management & remediation and stewardship processes.
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94024
Job Description
Requisition ID
94024
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview:
The Data Quality Analyst plays a key role in advancing New York Life’s data governance initiatives. This individual contributor role is responsible for designing, implementing, and optimizing data quality management solutions and data governance workflows using platforms such as Anomalo, Atlan and Unity Catalog.
Working closely with data product managers, business SMEs, and technology teams, the analyst enhances data quality, data discoverability/trust and compliance across the enterprise; supporting New York Life’s Data Strategy and enabling timely, data-driven decisions built on trusted information.
What You’ll Do:
- Working closely with Data Quality Product Owner, refine and execute the data quality management strategy.
- Assist with the implementation of data quality platforms, and document processes and standards.
- Collaborate with business data owners, stewards, data product managers, SMEs, and data engineers to drive alignment on data quality outcomes and adoption of data quality tools and processes.
- Assist in socializing our capabilities via roadshows, lunch and learns, training sessions, and user enablement/onboarding sessions.
- As a member of the Data Quality agile team, participate in, as well as occasionally lead Agile ceremonies (on rotation), taking an active role in prioritizing the backlog, managing the deliveries and soliciting/acting on stakeholder feedback.
What You’ll Bring:
- 7–10+ years of professional experience, including 5+ years in a data governance function.
- Bachelor’s degree in Business, Computer Science, Information Technology, or related field.
- Strong understanding of data governance frameworks, data quality management & remediation and metadata management concepts.
- Experience with data analysis, profiling, cleansing, standardization, and root cause analysis.
- Proven ability to translate business needs into governance policies, standards, and workflows.
- Excellent communication and collaboration skills and experience working across business and technical teams.
- Hands-on experience with Anomalo or similar data quality management tools. Familiarity with metadata management tools (e.g., Atlan).
- Strong SQL skills with the ability to analyze and validate data lineage.
- Experience applying governance frameworks, data quality management & remediation and stewardship processes.
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94024
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Find Data Quality Analyst JobsData Quality Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple47
- CVS Health43
- Tata Consultancy Services (TCS)24
- Amazon17
- Humana12
Top Industries Hiring
- Technology & Software248
- Electronics & Hardware117
- Healthcare & Medical Services101
- Consulting & Professional Services74
- Insurance43
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 Apple, CVS Health, and Tata Consultancy Services (TCS), with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of June 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 24% of data quality analyst openings are fully remote or hybrid as of June 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 924+ Data Quality Analyst Jobs
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