Data Management Analyst Jobs in USA with Visa Sponsorship
Data Management Analyst roles qualify for H-1B visa, O-1 visa, and EB-2 sponsorship when the position requires a bachelor's degree in information systems, computer science, or a related field. Employers across finance, healthcare, and technology regularly sponsor this role. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsJob 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 8,464+ Data Management Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Management Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Management Analyst
Confirm the degree requirement is in the job posting
H-1B sponsorship requires the role to qualify as a specialty occupation. The posting must specify a bachelor's degree in a relevant field, not just 'preferred.' A vague requirement weakens the petition significantly.
Target industries with established sponsorship infrastructure
Financial services, healthcare systems, and enterprise technology companies sponsor Data Management Analysts most consistently. These employers have immigration counsel on retainer and understand the H-1B process, reducing friction during hiring.
Highlight database and governance expertise in your resume
Employers filing H-1B petitions need to demonstrate the role requires specialized knowledge. Proficiency in SQL, data governance frameworks, and tools like Informatica or Collibra strengthens both your candidacy and the specialty occupation argument.
Understand the H-1B cap and timing constraints
Most Data Management Analyst roles are cap-subject, meaning employment can only begin October 1 after a successful March lottery. Cap-exempt employers, universities and nonprofits, can file year-round, which removes the timing risk entirely.
Ask about prior sponsorship history before applying
Companies that have sponsored data roles before have existing LCA templates and immigration workflows. Asking early signals you understand the process and filters out employers who treat sponsorship as an obstacle rather than a standard hiring step.
Use OPT STEM extension time strategically
If you're on F-1 OPT, the 24-month STEM extension gives you up to three H-1B lottery cycles. Joining a company during OPT lets you demonstrate value before sponsorship begins, which meaningfully increases employer commitment to filing.
Frequently Asked Questions
Does a Data Management Analyst role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS requires the position to normally demand a bachelor's degree or higher in a specific field, information systems, computer science, or data analytics typically satisfy this. Where employers run into trouble is with broadly written job descriptions that don't tie the duties to a degree field. If the posting says 'any bachelor's degree accepted,' that weakens the petition. The stronger the degree-to-duties connection in the job description, the cleaner the approval.
What visa types are available for Data Management Analysts beyond H-1B?
The H-1B visa is the most common path, but it's not the only one. Australians may qualify for the E-3 visa, which has a separate annual allocation and no lottery. Canadians and Mexicans can pursue the TN visa under the USMCA. Analysts with exceptional published work or industry recognition may qualify for the O-1A. For long-term permanent residence, the EB-2 category covers advanced degree professionals, and EB-2 NIW is available if your work has national importance, a harder bar but no employer sponsorship required.
How do I find Data Management Analyst jobs that offer visa sponsorship?
Migrate Mate is built specifically for this, every listing is filtered for sponsorship willingness, so you're not wasting time applying to roles where the employer won't file. Standard job boards mix sponsored and non-sponsored roles without distinction, which is a significant time drain when you're working against OPT or grace period deadlines.
Does my degree field need to exactly match 'data management' to qualify?
Not exactly, but it needs to be directly related. Degrees in information systems, computer science, statistics, mathematics, or management information systems are routinely accepted. A business administration degree with a data concentration can work, but expect more scrutiny. If your degree field is distant from the role's technical requirements, supplementing with relevant certifications, AWS Certified Data Analytics, for example, helps build the specialty occupation case alongside your attorney's arguments.
What are the H-1B approval rates for Data Management Analyst petitions?
USCIS doesn't publish approval rates by job title, but data and analytics roles in the broader computer and mathematical occupations category have historically seen approval rates above 85% when the petition is well-documented. Denials in this category are most often tied to specialty occupation arguments failing, usually because the job description was too generic or the employer didn't establish that a degree is actually required to perform the duties.
What is the prevailing wage requirement for sponsored Data Management Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.