Data Management Analyst Jobs
Data Management Analyst jobs are open across healthcare, finance, government, retail, and technology, from entry-level to senior and lead, with specializations in data governance, data quality, and master data management. Find a role that fits from the openings below and apply directly.
Find Data Management Analyst JobsOverview
Showing 5 of 8,428+ Data Management Analyst jobs
Job Description:
Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.
We’re actively seeking a talented Sr Data Management Analyst to join our team in Newport Beach, CA.
The Sr Data Management Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework, data profiling tools and processes, data governance and providing services and solutions aligned with overall Pacific Life’s PL Data Management strategy, Data Governance organization in PL Data for Workforce benefits (WBD). This role combines data engineering, data analysis, and data quality management to ensure reliable, high-quality, and trusted data across enterprise data platforms. The individual will design and implement data pipelines, observability frameworks, and quality controls, while partnering with business and data stakeholders to enable data-driven decision making and improve data reliability at scale.
How you’ll help move us forward:
- As Sr Data Management Analyst within Enterprise DG organization, lead Data Quality and Governance for Workforce Benefits Division (WBD), manage asset certification program for data, data metrics, reports, and a multi-faceted communication and engagement plan with the WBD data community.
- Partner with data architects, engineers, analysts, and business stakeholders to gather requirements and translate business needs into clear technical solutions.
- Lead requirements workshops, backlog refinement, and stakeholder discussions; document business, functional, and technical requirements.
- Implement data observability and data quality monitoring frameworks, including automated checks, anomaly detection, and alerting mechanisms across critical data pipelines.
- Perform deep data analysis using SQL and python and profiling techniques to identify anomalies, data gaps, and inconsistencies across source-to-target systems.
- Develop and maintain data quality metrics, scorecards, and monitoring dashboards to track data reliability and pipeline health.
- Conduct root cause analysis and remediation of data issues, working across upstream and downstream systems.
- Design and develop scalable data solutions, including data models, source-to-target mappings, ETL/ELT.
- Collaborate with engineering teams on code reviews, testing, CI/CD processes, and deployment best practices.
- Support data governance initiatives, including metadata management, data lineage, data certification, and business glossary maintenance.
- Ensure compliance with data standards, controls, and regulatory requirements for sensitive data (PII/PHI).
- Work within Agile delivery teams to prioritize, manage, and execute work effectively.
The experience you bring:
- BS in Computer Science, Mathematics, Finance or related field. Master’s degree preferred.
- Minimum of 6+ years’ of professional in Data analysis, Data Quality, Engineering, related roles.
- Expert level SQL and strong Python programming skills, Strong hands-on experience with SQL for data analysis, validation, and troubleshooting data issues.
- Experience building or supporting data pipelines, ETL processes, or data workflows.
- Experience implementing data quality monitoring, observability frameworks, or automated controls.
- Experience working with cloud-based data platforms (AWS, Azure, Snowflake, etc.).
- Strong experience with data profiling, anomaly detection, and root cause analysis.
- Experience working in Workforce Benefits (WBD), Insurance, or Healthcare data domains.
- Experience working on complex business/technology initiatives within and across multiple verticals/domains.
- Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users.
What will make you stand out:
- Experience with regulated data environments (PII/PHI).
- Experience in Workforce benefits domain.
- Data Management Professional (CDMP), AWS certification.
- 3+ years setting up data governance and catalog toolsets like Alation, Atlan, or Collibra.
- 3+ years experience with cloud technologies such as Snowflake and AWS related to data warehousing.
- 3+ years of data analysis or reporting experience with building SQL queries, metrics definitions and translating source data into target analysis.
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$137,610.00 - $168,190.00
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
- Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents.
- Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off.
- Paid Parental Leave as well as an Adoption Assistance Program.
- Competitive 401k savings plan with company match and an additional contribution regardless of participation.
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
Job Description:
Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.
We’re actively seeking a talented Sr Data Management Analyst to join our team in Newport Beach, CA.
The Sr Data Management Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework, data profiling tools and processes, data governance and providing services and solutions aligned with overall Pacific Life’s PL Data Management strategy, Data Governance organization in PL Data for Workforce benefits (WBD). This role combines data engineering, data analysis, and data quality management to ensure reliable, high-quality, and trusted data across enterprise data platforms. The individual will design and implement data pipelines, observability frameworks, and quality controls, while partnering with business and data stakeholders to enable data-driven decision making and improve data reliability at scale.
How you’ll help move us forward:
- As Sr Data Management Analyst within Enterprise DG organization, lead Data Quality and Governance for Workforce Benefits Division (WBD), manage asset certification program for data, data metrics, reports, and a multi-faceted communication and engagement plan with the WBD data community.
- Partner with data architects, engineers, analysts, and business stakeholders to gather requirements and translate business needs into clear technical solutions.
- Lead requirements workshops, backlog refinement, and stakeholder discussions; document business, functional, and technical requirements.
- Implement data observability and data quality monitoring frameworks, including automated checks, anomaly detection, and alerting mechanisms across critical data pipelines.
- Perform deep data analysis using SQL and python and profiling techniques to identify anomalies, data gaps, and inconsistencies across source-to-target systems.
- Develop and maintain data quality metrics, scorecards, and monitoring dashboards to track data reliability and pipeline health.
- Conduct root cause analysis and remediation of data issues, working across upstream and downstream systems.
- Design and develop scalable data solutions, including data models, source-to-target mappings, ETL/ELT.
- Collaborate with engineering teams on code reviews, testing, CI/CD processes, and deployment best practices.
- Support data governance initiatives, including metadata management, data lineage, data certification, and business glossary maintenance.
- Ensure compliance with data standards, controls, and regulatory requirements for sensitive data (PII/PHI).
- Work within Agile delivery teams to prioritize, manage, and execute work effectively.
The experience you bring:
- BS in Computer Science, Mathematics, Finance or related field. Master’s degree preferred.
- Minimum of 6+ years’ of professional in Data analysis, Data Quality, Engineering, related roles.
- Expert level SQL and strong Python programming skills, Strong hands-on experience with SQL for data analysis, validation, and troubleshooting data issues.
- Experience building or supporting data pipelines, ETL processes, or data workflows.
- Experience implementing data quality monitoring, observability frameworks, or automated controls.
- Experience working with cloud-based data platforms (AWS, Azure, Snowflake, etc.).
- Strong experience with data profiling, anomaly detection, and root cause analysis.
- Experience working in Workforce Benefits (WBD), Insurance, or Healthcare data domains.
- Experience working on complex business/technology initiatives within and across multiple verticals/domains.
- Ability to analyze complex data issues and determine appropriate policies, standards, and solutions to enhance the experience for data users.
What will make you stand out:
- Experience with regulated data environments (PII/PHI).
- Experience in Workforce benefits domain.
- Data Management Professional (CDMP), AWS certification.
- 3+ years setting up data governance and catalog toolsets like Alation, Atlan, or Collibra.
- 3+ years experience with cloud technologies such as Snowflake and AWS related to data warehousing.
- 3+ years of data analysis or reporting experience with building SQL queries, metrics definitions and translating source data into target analysis.
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$137,610.00 - $168,190.00
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
- Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents.
- Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off.
- Paid Parental Leave as well as an Adoption Assistance Program.
- Competitive 401k savings plan with company match and an additional contribution regardless of participation.
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
See All 8,428+ Data Management Analyst Jobs
Jump back to the full list of openings and apply to any data management analyst role that fits.
Find Data Management Analyst JobsData Management Analyst Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon375
- CVS Health234
- Apple180
- Walmart116
- Google114
Top Industries Hiring
- Technology & Software2,484
- Consulting & Professional Services828
- Banking & Financial Services483
- Healthcare & Medical Services483
- Investment & Asset Management400
What Employers Look For
The qualifications that appear most often in data management analyst jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets across relational databases
- Experience with data governance frameworks and master data management principles and tools
- Familiarity with ETL processes and data pipeline tools such as Informatica, Talend, or similar platforms
- Bachelor's degree in information systems, computer science, statistics, or a related field
- Ability to document data dictionaries, data lineage, and metadata standards for business and technical audiences
- Certifications such as CDMP or experience with data quality tools like Collibra or Ataccama
Tips for Your Data Management Analyst Job Search
Tailor your resume to governance frameworks
Hiring managers for data management analyst roles scan for specific frameworks like DAMA-DMBOK and tools like Collibra or Informatica. Name the frameworks you've worked within and the data domains you've governed, not just generic database experience.
Highlight data quality metrics you owned
Employers want proof you've improved data integrity, not just maintained it. Quantify the scope of records you managed, the error rates you reduced, or the pipeline exceptions you resolved. Vague claims about data cleanup don't stand out.
Filter openings by the stack you know
Data management analyst postings vary widely by tool set, from SQL and Python to enterprise MDM platforms. Target openings that list tools you've used in production. Applying to roles built around unfamiliar platforms wastes time for both sides.
Apply early to roles that fit
Migrate Mate lists data management analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare to walk through a data audit scenario
Interviewers frequently ask you to diagnose a messy dataset live or describe how you'd audit a data pipeline end to end. Practice narrating your diagnostic process out loud, not just knowing the answer, because interviewers are evaluating your methodology.
Negotiate using data stewardship scope
When an offer comes in, anchor your negotiation to the scale of data domains you'll own, the number of upstream systems you'll integrate, and whether you're also expected to build governance policy from scratch. Broader scope justifies a higher band.
Data Management Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data management analysts?
The companies hiring the most data management analysts right now include Amazon, CVS Health, and Apple, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Healthcare systems, financial institutions, and large federal contractors tend to post the most consistently throughout the year.
How many data management analyst jobs are remote?
About 33% of data management analyst openings are fully remote or hybrid as of June 2026, with remote options most common in data governance, metadata management, and data quality roles that don't require on-site access to proprietary systems or physical data centers. Roles tied to regulated industries like defense or healthcare tend to be more on-site.
How do you become a data management analyst?
Start with a foundation in SQL and relational database concepts, then build hands-on experience through coursework or projects involving data cleaning, transformation, and documentation. Learn a governance framework like DAMA-DMBOK and get exposure to at least one enterprise MDM or data quality tool. Entry-level roles in data operations or business intelligence often serve as a direct path into data management analyst positions.
Can you get a data management analyst job with little or no experience?
Yes, entry-level data management analyst roles exist and typically look for candidates who can demonstrate SQL proficiency, attention to data quality, and an understanding of data lifecycle concepts. Building a portfolio of personal or academic projects that show data cleaning, validation, or documentation work helps close the experience gap. Internships in data operations or analytics are also a reliable entry point.
What does the data management analyst interview process look like?
The process typically starts with a recruiter screening call, followed by a technical round where you may be asked to write SQL queries, walk through a data audit scenario, or explain how you'd design a data quality rule. A final round often involves a case study or a conversation with a hiring manager focused on how you've handled data integrity issues, stakeholder communication, and governance documentation in practice.
Where can I find and apply to data management analyst jobs?
You can find and apply to data management analyst jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and tools, then apply directly to each listing. New openings are added regularly, so checking back frequently gives you the best chance of catching roles before they fill.
See All 8,428+ Data Management Analyst Jobs
Jump back to the full list of openings and apply to any data management analyst role that fits.
Find Data Management Analyst Jobs