H-1B Visa Data Management Analyst Jobs
Data Management Analyst roles qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in information systems, computer science, or a related field. Employers file the LCA and I-129 on your behalf, and many large data-driven organizations sponsor H-1B transfers and new cap-subject petitions regularly.
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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 7,738+ H-1B Visa Data Management Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Management Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Management Analyst
Align your degree to the SOC code
Data Management Analyst positions are typically filed under SOC 15-2051 or 15-1243. Confirm your degree field matches the occupational definition in O*NET before applying, a mismatch between your credential and the SOC code is a common RFE trigger.
Verify prevailing wage before negotiating offers
Run your target job title, location, and experience level through the OFLC Wage Search before discussing compensation. Your offered salary must meet or exceed the LCA-certified wage, and employers can't adjust it downward after filing.
Target employers with active LCA filing history
Use Migrate Mate to filter Data Management Analyst roles by employers who have filed LCAs for this occupation. That filing history signals the employer understands H-1B sponsorship and has internal processes ready to move quickly.
Ask about E-Verify enrollment before accepting
H-1B sponsoring employers must be E-Verify participants. Before signing an offer, confirm the hiring entity, not just the parent company, is enrolled, since subsidiaries and staffing intermediaries sometimes operate under separate EINs.
Prepare a degree equivalency memo for three-year credentials
If your bachelor's degree is a three-year program, have a credential evaluation completed that maps it to a U.S. four-year degree in a directly related field. USCIS applies stricter scrutiny to three-year degrees in data and analytics roles.
Request premium processing if your cap-gap window is tight
If your OPT or cap-gap authorization expires before USCIS adjudicates your I-129, ask your employer to file with premium processing. USCIS guarantees a decision within 15 business days, which protects your ability to stay in status and keep working.
H-1B Visa Data Management Analyst: Frequently Asked Questions
Does a Data Management Analyst role qualify as an H-1B specialty occupation?
Yes. Data Management Analyst positions qualify when the employer requires at least a bachelor's degree in information systems, computer science, data science, or a closely related field. Roles that accept any degree or substitute general experience without a field requirement can face specialty occupation RFEs, so the job description wording matters significantly.
Which employers sponsor H-1B visas for Data Management Analyst positions?
Financial institutions, healthcare systems, technology companies, and federal contractors are among the most active H-1B sponsors for data management roles. The clearest way to identify them is through DOL LCA disclosure data, which shows which employers have filed for this occupation by job title and location. Migrate Mate surfaces that data directly so you can target your search.
Can a Data Management Analyst transfer an H-1B to a new employer mid-year?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as the transfer petition is filed with USCIS, without waiting for approval. The new employer files a new I-129, and you can begin the role immediately on receipt notice, as long as your previous H-1B was properly maintained.
What documents should I have ready when an employer agrees to sponsor my H-1B?
You'll need official transcripts, your degree certificate, any credential evaluation for non-U.S. degrees, a copy of your current I-94, your passport, and prior visa approvals. For data roles, employers sometimes also request a detailed job description signed by your direct manager to support the specialty occupation determination in the LCA and I-129.
How does the H-1B lottery affect Data Management Analyst applicants?
Cap-subject H-1B petitions enter a random lottery each March for the following October 1 start date. USCIS sets 65,000 slots for regular cap applicants and an additional 20,000 for U.S. master's degree holders. If you aren't selected, your employer can refile in the next registration cycle or explore cap-exempt options if they qualify.