H-1B1 Singapore Visa Health Data Analyst Jobs
Health Data Analyst jobs with H-1B1 Singapore visa sponsorship are a direct path for Singaporean nationals into U.S. healthcare analytics. The H-1B visa1 skips the H-1B lottery, carries a 5,400-visa annual cap that rarely fills, and processes at the U.S. consulate in Singapore, so your timeline to a U.S. start date is predictable.
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Get Access To All JobsINTRODUCTION
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
ROLE
As a Senior Health Data Analyst on the Veeva Compass Product Team, you will play a key role in supporting the core data structures and processes that drive the development of Payer data. You will contribute to data collection, normalization, and analysis to help build Payer reference data. You will be responsible for driving data quality, consistency, and governance for the payer data domain, a foundational reference data set. As a part of our Compass Product Team, you will work alongside Product Managers, Engineering, QA, Terminologists, and Data Analysts to deliver high quality Payer data within our Compass suite of products.
This role is well-suited for someone with a deep understanding of the US insurance landscape, who is also passionate about solving complex data problems. You have a high attention to detail, and a focus on delivering high quality work. In this role, you will be the bridge between the nuances of payer data and actionable product insights.
What You’ll Do
- Collect and Maintain Source Data: Identify new data sources and opportunities for automation to ensure all information remains accurate and current
- Analyze Data Quality: Execute ongoing quality improvement plan to refine matching process and reduce unmapped data
- Establish Governance Standards: Define and maintain standards, documentation, and stewardship models for the payer data domain
- Stay Current on the Payer Landscape: Track market trends, including mergers, acquisitions, and rebranding, to assess their impact on our data products
- Collaborate on Platform Improvements: Partner with product managers, engineers, and analysts to build scalable, automated processes that ensure trusted data delivery
BASIC QUALIFICATIONS
- 4+ years working with healthcare data, with 2+ years focused on payer data (e.g., payers on claims, payment systems, formulary data)
- Deep understanding of the US insurance market, including the nuanced relationships between PBMs and payers across different types of insurance coverage (e.g., Medicare, Medicaid, Commercial, Assistance Programs)
- Proficient in SQL for querying, analyzing, and validating large data sets
- Proven ability to identify new data sources, establish extraction best practices, and merge them into existing sets
- Demonstrated experience in data governance, including the ability to create and enforce data standards and naming conventions across a pipeline
- Collaborative mindset, with the ability to define data requirements across cross-functional teams
PREFERRED QUALIFICATIONS
- Experience integrating payer data with other healthcare data types, such as HCO or claims data, is a significant advantage
- Experience with Market Access Analytics
- Experience in Python
- Experience with the BI tool Sigma
PERKS & BENEFITS
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
COMPENSATION
- Base pay: $80,000 - $125,000
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
LI-RemoteUS
LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
ROLE
As a Senior Health Data Analyst on the Veeva Compass Product Team, you will play a key role in supporting the core data structures and processes that drive the development of Payer data. You will contribute to data collection, normalization, and analysis to help build Payer reference data. You will be responsible for driving data quality, consistency, and governance for the payer data domain, a foundational reference data set. As a part of our Compass Product Team, you will work alongside Product Managers, Engineering, QA, Terminologists, and Data Analysts to deliver high quality Payer data within our Compass suite of products.
This role is well-suited for someone with a deep understanding of the US insurance landscape, who is also passionate about solving complex data problems. You have a high attention to detail, and a focus on delivering high quality work. In this role, you will be the bridge between the nuances of payer data and actionable product insights.
What You’ll Do
- Collect and Maintain Source Data: Identify new data sources and opportunities for automation to ensure all information remains accurate and current
- Analyze Data Quality: Execute ongoing quality improvement plan to refine matching process and reduce unmapped data
- Establish Governance Standards: Define and maintain standards, documentation, and stewardship models for the payer data domain
- Stay Current on the Payer Landscape: Track market trends, including mergers, acquisitions, and rebranding, to assess their impact on our data products
- Collaborate on Platform Improvements: Partner with product managers, engineers, and analysts to build scalable, automated processes that ensure trusted data delivery
BASIC QUALIFICATIONS
- 4+ years working with healthcare data, with 2+ years focused on payer data (e.g., payers on claims, payment systems, formulary data)
- Deep understanding of the US insurance market, including the nuanced relationships between PBMs and payers across different types of insurance coverage (e.g., Medicare, Medicaid, Commercial, Assistance Programs)
- Proficient in SQL for querying, analyzing, and validating large data sets
- Proven ability to identify new data sources, establish extraction best practices, and merge them into existing sets
- Demonstrated experience in data governance, including the ability to create and enforce data standards and naming conventions across a pipeline
- Collaborative mindset, with the ability to define data requirements across cross-functional teams
PREFERRED QUALIFICATIONS
- Experience integrating payer data with other healthcare data types, such as HCO or claims data, is a significant advantage
- Experience with Market Access Analytics
- Experience in Python
- Experience with the BI tool Sigma
PERKS & BENEFITS
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
COMPENSATION
- Base pay: $80,000 - $125,000
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
LI-RemoteUS
LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Health Data Analyst
Align your credentials to specialty occupation standards
Your degree must directly relate to health informatics, biostatistics, or a closely allied quantitative field. A general IT or business degree without a health analytics concentration can trigger an RFE, so gather transcripts and any graduate coursework documentation before you apply.
Target employers with active LCA filing histories
Use Migrate Mate to filter Health Data Analyst roles by verified DOL Labor Condition Application filings, so you're applying to employers who have already committed to H-1B1 Singapore sponsorship workflows rather than those encountering the visa category for the first time.
Distinguish H-1B1 from H-1B during employer conversations
Many U.S. healthcare systems default to H-1B when they hear 'work visa.' Tell HR that the H-1B1 visa requires no lottery, no USCIS petition, and consular processing only, which reduces their administrative burden compared to a standard H-1B sponsorship.
Verify your prospective employer's prevailing wage compliance
Run the offered role's SOC code through the OFLC Wage Search before accepting an offer. Health Data Analyst wages vary by metropolitan area, and your employer must certify the offered salary meets the DOL prevailing wage before the LCA can be approved.
Prepare a specialty occupation documentation packet early
Compile your O*NET occupation profile for Health Data Analysts, your degree transcripts, and any professional certifications such as CPHIMS or a Six Sigma credential. Consular officers use these to confirm your role requires a specifically related bachelor's degree or higher.
Account for the two-year validity cycle in your offer negotiations
The H-1B1 is granted in one-year increments at the consulate and can be extended indefinitely in one-year steps, but each renewal requires a valid LCA. Confirm your employer understands the annual recertification requirement before you sign an offer letter.
Frequently Asked Questions
Does a Health Data Analyst role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. The H-1B1 requires the position to normally require at least a bachelor's degree in a directly related field. Health Data Analyst roles typically require degrees in health informatics, biostatistics, or epidemiology, which satisfies this standard. USCIS and consular officers use the O*NET profile and your employer's job description together to confirm qualification.
How does the H-1B1 Singapore visa compare to the H-1B for Health Data Analyst roles?
The H-1B1 is available only to Singaporean nationals and bypasses the H-1B lottery entirely. There's a 5,400-visa annual cap that has never been exhausted, so timing is not a bottleneck. Processing happens at the U.S. consulate in Singapore rather than through USCIS, which means you avoid the multi-month USCIS adjudication window typical of H-1B petitions.
How do I find Health Data Analyst employers who already sponsor the H-1B1 Singapore visa?
Migrate Mate lets you search Health Data Analyst openings filtered by verified DOL LCA filing history, identifying employers who have sponsored H-1B1 Singapore workers before. This is more reliable than cold-applying and hoping an employer understands the visa category, since many U.S. healthcare employers are unfamiliar with the H-1B1 specifically.
What documents does my employer need to prepare for my H-1B1 consular application?
Your employer must file and receive a certified Labor Condition Application from the DOL before your consulate interview. They also need to prepare a support letter confirming your job duties, required degree, and offered wage. You bring the certified LCA, the support letter, your DS-160, and academic credentials to your interview at the U.S. Embassy in Singapore.
Can I switch Health Data Analyst employers while on an H-1B1 Singapore visa inside the U.S.?
Yes, but unlike H-1B portability, the H-1B1 does not allow you to begin new employment while a transfer petition is pending. Your new employer must obtain a certified LCA and you must apply for a new H-1B1 at the consulate before starting work, so build transition time into any job change plan.
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