H-1B1 Singapore Visa Analytics Lead Jobs
Analytics Lead roles qualify for H-1B1 Singapore visa sponsorship under the U.S.-Singapore Free Trade Agreement, giving Singaporean professionals a direct consulate path with no lottery and an annual cap of 5,400 that has never been exhausted. Employers file a Labor Condition Application with DOL before you apply, and two-year renewals are unlimited.
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Get Access To All JobsINTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
Airbnb is entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape. For the role of Lead, Advanced Analyst we’re looking for a senior individual contributor and subject-matter expert who can set a high analytical standard for the team. You will collaborate with a talented cross-functional team of operations specialists, product managers, data scientists and engineers to design and deploy systems that mitigate fraud and safety risks at scale. You will define and monitor metrics, create data narratives, design and run experiments, and build tools that drive decisions at the intersection of policy, operations, and risk.
THE DIFFERENCE YOU WILL MAKE
This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights, frameworks and systems will empower stakeholders across Legal, Operations, Policy, Product and Engineering to make bold, data-driven and context-aware decisions in real time.
A TYPICAL DAY
- Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping
- Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
- Ensure fraud and safety metrics are future-proof, scalable and supported by clear governance, ownership and automated monitoring
- Own launch and decision criteria for fraud and safety experiments by defining launch thresholds, gating metric releases on decision quality, and helping leadership make data-driven decisions
- Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narratives.
- Operationalize frameworks that instantly assess and size the platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives and systematic learning
YOUR EXPERTISE
- 5+ years of experience in data analytics, fraud, safety, or a related quantitative domain, with deep individual-contributor expertise, or 2+ years of industry experience with a PhD
- Proven ownership of large-scale data products or taxonomies
- Strong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelines
- Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform setting.
- Deep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power
- Familiarity with account integrity, user authentication and connected-account vectors, such as social logins, device fingerprinting and related identity signals
- Skilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into systematic improvements
- Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service tools
- Exceptional storyteller with the ability to make complex analytics actionable for every audience
PREFERRED EXPERIENCE
- Prior work in marketplace, fintech, or travel/hospitality tech environments
- Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks
- Exposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk management
- Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative field
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
PAY RANGE
$164,000—$191,000 USD
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
Airbnb is entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape. For the role of Lead, Advanced Analyst we’re looking for a senior individual contributor and subject-matter expert who can set a high analytical standard for the team. You will collaborate with a talented cross-functional team of operations specialists, product managers, data scientists and engineers to design and deploy systems that mitigate fraud and safety risks at scale. You will define and monitor metrics, create data narratives, design and run experiments, and build tools that drive decisions at the intersection of policy, operations, and risk.
THE DIFFERENCE YOU WILL MAKE
This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights, frameworks and systems will empower stakeholders across Legal, Operations, Policy, Product and Engineering to make bold, data-driven and context-aware decisions in real time.
A TYPICAL DAY
- Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping
- Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
- Ensure fraud and safety metrics are future-proof, scalable and supported by clear governance, ownership and automated monitoring
- Own launch and decision criteria for fraud and safety experiments by defining launch thresholds, gating metric releases on decision quality, and helping leadership make data-driven decisions
- Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narratives.
- Operationalize frameworks that instantly assess and size the platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives and systematic learning
YOUR EXPERTISE
- 5+ years of experience in data analytics, fraud, safety, or a related quantitative domain, with deep individual-contributor expertise, or 2+ years of industry experience with a PhD
- Proven ownership of large-scale data products or taxonomies
- Strong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelines
- Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform setting.
- Deep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power
- Familiarity with account integrity, user authentication and connected-account vectors, such as social logins, device fingerprinting and related identity signals
- Skilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into systematic improvements
- Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service tools
- Exceptional storyteller with the ability to make complex analytics actionable for every audience
PREFERRED EXPERIENCE
- Prior work in marketplace, fintech, or travel/hospitality tech environments
- Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks
- Exposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk management
- Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative field
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
PAY RANGE
$164,000—$191,000 USD
See all 254+ H-1B1 Singapore Visa Analytics Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Analytics Lead Jobs.
Get Access To All JobsTips for Finding Analytics Lead Jobs
Align your credentials to specialty occupation standards
Your analytics degree must directly correspond to the Analytics Lead role. A business analytics, statistics, or computer science qualification maps cleanly, but a general business degree can trigger scrutiny. Pull the O*NET profile for this occupation to document the standard educational pathway before your employer files.
Target employers with active LCA filing histories
Search Migrate Mate to filter Analytics Lead roles by employers who have previously filed Labor Condition Applications for H-1B1 Singapore candidates, so you're applying where the sponsorship infrastructure already exists rather than educating a hiring team from scratch.
Distinguish H-1B1 from H-1B in your employer conversations
Most U.S. hiring managers conflate the two. Clarify that the H-1B1 visa requires no USCIS petition for initial entry, skips the lottery entirely, and is processed at the Singapore embassy, which typically shortens the timeline between offer and start date significantly.
Confirm your employer's prevailing wage compliance early
Your employer's LCA must certify that your offered salary meets the DOL prevailing wage for Analytics Lead roles in your work location. Run the OFLC Wage Search yourself before your offer letter is drafted so wage shortfalls don't stall the filing.
Prepare your specialty occupation documentation package
Gather your degree certificates, official transcripts, and a detailed employer letter that maps your Analytics Lead duties to your specific field of study. Consular officers at the Singapore embassy assess specialty occupation independently, so gaps in this package can delay visa issuance.
Understand the grace period before your start date
You can enter the U.S. up to ten days before your H-1B1 visa validity period begins. Coordinate your Singapore departure and U.S. onboarding timeline with your employer so your I-94 admission record reflects the correct start date for payroll and benefits enrollment.
Frequently Asked Questions
Does an Analytics Lead role qualify as a specialty occupation for H-1B1 Singapore purposes?
Yes. Analytics Lead positions require at least a bachelor's degree in a directly related field such as statistics, data science, computer science, or business analytics, which satisfies the specialty occupation standard. The key is that the degree field must correspond specifically to the analytical duties of the role, not just any bachelor's degree.
How does the H-1B1 Singapore visa compare to the H-1B for Analytics Lead professionals?
The H-1B1 visa has no lottery, no USCIS petition for initial entry, and an annual cap of 5,400 that has never been filled. Processing happens at the Singapore embassy rather than through USCIS, which typically means a faster path from offer to start date. The trade-off is that H-1B1 does not confer dual intent, so green card planning requires more careful sequencing.
How do I find employers who will actually sponsor an H-1B1 Singapore visa for an Analytics Lead role?
Use Migrate Mate to search Analytics Lead roles filtered by employers with documented H-1B1 Singapore filing history. This filters out companies unfamiliar with the visa category and surfaces hiring teams that have already navigated the Labor Condition Application and consular process for Singaporean candidates.
What does my employer need to file before I can apply for the H-1B1 Singapore visa?
Your employer must file and receive a certified Labor Condition Application from DOL before you can apply at the consulate. The LCA confirms the offered wage meets the prevailing wage for an Analytics Lead in your work location and attests to certain working conditions. Certification typically takes around seven business days under standard DOL processing.
Can I switch Analytics Lead employers after entering the U.S. on an H-1B1 Singapore visa?
Yes, but unlike H-1B visa portability, there is no grace period that allows you to start working immediately on filing. Your new employer must obtain a certified LCA and you must obtain a new H-1B1 visa stamp before beginning work. Plan for a potential gap between roles or time your transition around your renewal cycle.