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.
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Get Access To All JobsINTRODUCTION
Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.
Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies.
BXTI is nimble and entrepreneurial – our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.
As a senior data analyst focused on data visualization, you'll drive the adoption of data visualization technology at one of the world's leading investment firms. This includes a full suite of data platforms based on our modern data stack.
Together, these systems empower data scientists, data analysts, quant developers, and business partners to make more informed and higher-quality decisions, both within the firm and across Blackstone's portfolio companies. Given the breadth and scale of Blackstone's investments, and the large role that data analytics and data systems play in key business processes, this is a truly unique opportunity.
As a senior member of the team with a focus on the Private Wealth business unit, you will have an opportunity for your work to have a significant impact from day one. You will work alongside data engineers, data scientists, data analysts, and investment professionals on unique challenges. The ideal candidate needs to be comfortable leveraging governed methods, iterating quickly, communicating effectively, and delivering high-quality data products.
KEY RESPONSIBILITIES:
- Assess high level analytics goals, refine requirements, and build scalable data solutions
- Refine and drive adoption of data visualization best practices throughout the firm
- Develop and enrich relationships with data leads across Blackstone
- Facilitate Proof-of-concept (POC) engagements, draft business designs (requirements), and establish project-specific resourcing plans
- Draft, manage and constantly improve all Standard Operating Procedures (SOPs) related to data visualization, including Tableau server access control, site administration, content curation, etc.
- Participate in bi-weekly sprint planning meetings and daily standups
- Optimize/troubleshoot data products for maximum performance and scalability
- Conduct project reviews and provide constructive feedback to team members
- Stay up-to-date with emerging technologies and industry trends to continuously improve development practices
QUALIFICATIONS
- 8+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, Power BI, Looker, etc.
- Experience working within complex systems and large data sets via SQL or Python
- Entrepreneurial attitude and experience in quickly adapting to new technologies
- Player/coach mentality with desire to mentor junior members and adjacent teams
- Excellent problem-solving skills and attention to detail
- Articulate communicator in engaging technical staff and business partners
- Bachelor’s degree or higher in STEM or quantitative discipline preferred
PREFERRED SKILLS:
- Wealth management market data exposure including MMD, Discovery, DST, FINTRX, and more
- Full spectrum experience with modern data platforms (Snowflake, dbt, Sigma, Alation)
- Proficient with ETL platforms such as Fivetran and Prefect
- Hands-on experience with data lineage and observability platforms
- Knowledge of Agile methodologies and project management tools (JIRA, Trello)
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
EXPECTED ANNUAL BASE SALARY RANGE:
$160,000 - $225,000
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone’s sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:
- Attending client meetings where you are discussing Blackstone products and/or and client questions
- Marketing Blackstone funds to new or existing clients
- Supervising or training securities licensed employees
- Structuring or creating Blackstone funds/products
- Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials
Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.
INTRODUCTION
Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.
Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies.
BXTI is nimble and entrepreneurial – our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.
As a senior data analyst focused on data visualization, you'll drive the adoption of data visualization technology at one of the world's leading investment firms. This includes a full suite of data platforms based on our modern data stack.
Together, these systems empower data scientists, data analysts, quant developers, and business partners to make more informed and higher-quality decisions, both within the firm and across Blackstone's portfolio companies. Given the breadth and scale of Blackstone's investments, and the large role that data analytics and data systems play in key business processes, this is a truly unique opportunity.
As a senior member of the team with a focus on the Private Wealth business unit, you will have an opportunity for your work to have a significant impact from day one. You will work alongside data engineers, data scientists, data analysts, and investment professionals on unique challenges. The ideal candidate needs to be comfortable leveraging governed methods, iterating quickly, communicating effectively, and delivering high-quality data products.
KEY RESPONSIBILITIES:
- Assess high level analytics goals, refine requirements, and build scalable data solutions
- Refine and drive adoption of data visualization best practices throughout the firm
- Develop and enrich relationships with data leads across Blackstone
- Facilitate Proof-of-concept (POC) engagements, draft business designs (requirements), and establish project-specific resourcing plans
- Draft, manage and constantly improve all Standard Operating Procedures (SOPs) related to data visualization, including Tableau server access control, site administration, content curation, etc.
- Participate in bi-weekly sprint planning meetings and daily standups
- Optimize/troubleshoot data products for maximum performance and scalability
- Conduct project reviews and provide constructive feedback to team members
- Stay up-to-date with emerging technologies and industry trends to continuously improve development practices
QUALIFICATIONS
- 8+ years of data visualization/analytics experience preferred on platforms such as Tableau, Sigma, Power BI, Looker, etc.
- Experience working within complex systems and large data sets via SQL or Python
- Entrepreneurial attitude and experience in quickly adapting to new technologies
- Player/coach mentality with desire to mentor junior members and adjacent teams
- Excellent problem-solving skills and attention to detail
- Articulate communicator in engaging technical staff and business partners
- Bachelor’s degree or higher in STEM or quantitative discipline preferred
PREFERRED SKILLS:
- Wealth management market data exposure including MMD, Discovery, DST, FINTRX, and more
- Full spectrum experience with modern data platforms (Snowflake, dbt, Sigma, Alation)
- Proficient with ETL platforms such as Fivetran and Prefect
- Hands-on experience with data lineage and observability platforms
- Knowledge of Agile methodologies and project management tools (JIRA, Trello)
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
EXPECTED ANNUAL BASE SALARY RANGE:
$160,000 - $225,000
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone’s sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:
- Attending client meetings where you are discussing Blackstone products and/or and client questions
- Marketing Blackstone funds to new or existing clients
- Supervising or training securities licensed employees
- Structuring or creating Blackstone funds/products
- Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials
Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.
See all 96+ 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 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 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 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 track.
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