H-1B1 Singapore Visa Data Analyst Jobs
H-1B1 Singapore visa sponsorship lets Singaporean nationals step into Data Analyst roles in the U.S. without entering the H-1B lottery. The 5,400-visa annual cap rarely fills, consulate processing replaces the USCIS petition track, and your employer's filing burden is significantly lighter than a standard H-1B visa.
Find H-1B1 Singapore Visa Data Analyst JobsOverview
Showing 5 of 196+ Data Analyst jobs
See all 196+ Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst roles.
Get Access To All JobsINTRODUCTION
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
ROLE AND RESPONSIBILITIES
Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.
Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.
Primary Focus: AI Enabled Governance Outcomes
Deliver three AI-enabled governance outcomes:
- Glossary automation – Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.
- Metadata enrichment – Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.
- Governed data lifecycle – Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday–Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
- Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
- Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
- Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
- Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
- Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
- Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
- Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.
Job Requirements
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
- 6 or more years of Data Governance or related experience.
- Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
- Proven ability to prioritize, work independently, and deliver in a dynamic environment.
- Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
- Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
- Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
- Strong analytical and problem-solving skills required.
- Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.
What Success Looks Like
- Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.
- Measurable progress on glossary automation, metadata enrichment, and governed training datasets.
- Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.
Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
*Excludes seasonal employees and interns.
INTRODUCTION
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
ROLE AND RESPONSIBILITIES
Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.
Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.
Primary Focus: AI Enabled Governance Outcomes
Deliver three AI-enabled governance outcomes:
- Glossary automation – Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.
- Metadata enrichment – Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.
- Governed data lifecycle – Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday–Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
- Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).
- Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.
- Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.
- Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.
- Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.
- Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.
- Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.
Job Requirements
- Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.
- 6 or more years of Data Governance or related experience.
- Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.
- Proven ability to prioritize, work independently, and deliver in a dynamic environment.
- Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.
- Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.
- Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.
- Strong analytical and problem-solving skills required.
- Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.
What Success Looks Like
- Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.
- Measurable progress on glossary automation, metadata enrichment, and governed training datasets.
- Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.
Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
*Excludes seasonal employees and interns.
See all 196+ H-1B1 Singapore Visa Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Analyst Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analyst
Translate your credentials into U.S. specialty occupation language
Pull the O*NET profile for Data Analyst roles and map your Singaporean qualifications against the listed knowledge requirements. Consular officers assess specialty occupation fit, so framing your degree and experience in that vocabulary strengthens your application packet.
Target employers already familiar with H-1B1 filing
Many U.S. hiring managers have never processed an H-1B1 visa and conflate it with the lottery-based H-1B. Prioritize companies whose HR teams have filed LCAs for Singaporean nationals before, your offer conversation will move faster with less internal education required.
Search verified H-1B1 sponsoring employers on Migrate Mate
Migrate Mate filters job listings by verified H-1B1 Singapore visa sponsorship history, so you're not cold-applying to employers who've never navigated the process. Use it to build a shortlist before outreach rather than after.
Confirm your offered wage clears the DOL prevailing wage threshold
Your employer must certify on the LCA that your salary meets the prevailing wage for your role and location. Cross-check the offer against the OFLC Wage Search for your specific SOC code and metro area before signing, a below-threshold offer requires renegotiation before filing can proceed.
Prepare a degree equivalency statement if you hold a three-year diploma
Singapore's polytechnic diplomas and some local degree programs don't map cleanly to U.S. four-year bachelor's standards. Obtain a credential evaluation from a recognized assessment service before your consular interview so officers can confirm specialty occupation eligibility without delays.
Clarify the H-1B1 renewal timeline with your employer before your start date
The H-1B1 visa is issued in one-year increments and must be renewed annually at the consulate rather than through USCIS. Confirm your employer's HR team understands this cadence upfront so LCA recertification doesn't lag behind your renewal window.
Frequently Asked Questions
Do Data Analyst roles qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Data Analyst positions qualify when the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or information systems. Roles that accept any bachelor's degree regardless of field are harder to support. Your employer documents the specialty occupation requirement in the Labor Condition Application filed with DOL before your consular appointment.
How does the H-1B1 Singapore visa differ from the H-1B for Data Analyst applicants?
The H-1B1 Singapore visa has no lottery, no USCIS petition, and an annual cap of 5,400 that has never been exhausted. You apply directly at the U.S. consulate in Singapore after your employer secures LCA certification from DOL. The H-1B requires a USCIS petition, enters a competitive lottery each spring, and can take months longer to adjudicate. For Singaporean Data Analysts, the H-1B1 track is substantially faster.
How do I find employers willing to sponsor an H-1B1 Singapore visa for a Data Analyst role?
Migrate Mate lets you search specifically for employers with verified H-1B1 Singapore visa sponsorship history, filtering out companies that only process H-1B petitions or don't sponsor at all. Targeting employers who've already completed LCA filings for Singaporean nationals reduces the time you spend educating HR teams about a visa category many U.S. companies haven't encountered.
Can I switch Data Analyst employers after arriving in the U.S. on an H-1B1 Singapore visa?
Yes, but the H-1B1 visa doesn't carry H-1B portability protections. Your new employer must file a fresh LCA with DOL and you must obtain a new H-1B1 stamp at a U.S. consulate before starting the new role. There's no grace period that allows you to begin work while the new LCA is pending, so timing the transition carefully with both employers matters.
What documents does my employer need to prepare for my H-1B1 Singapore visa sponsorship?
Your employer files a Labor Condition Application with DOL certifying the offered wage meets the prevailing wage for your role and location. They also prepare a support letter describing the position's specialty occupation requirements and your qualifications. You bring those documents, along with your DS-160, passport, and academic credentials, to your consular interview. The employer doesn't file anything directly with USCIS on the H-1B1 visa track.