H-1B Visa Staff Analyst Jobs
H-1B visa jobs for Staff Analysts sit squarely in specialty occupation territory, requiring at least a bachelor's degree in business, economics, statistics, or a closely related field. Sponsoring employers file a certified LCA with DOL and an I-129 petition with USCIS, covering an initial three-year status period with extensions available.
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Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
Overview
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
See all 3,562+ H-1B Visa Staff Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Staff Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Staff Analyst
Align your degree to analyst duties
USCIS evaluates whether your specific degree field directly relates to Staff Analyst work. A degree in business administration, economics, statistics, or industrial engineering maps cleanly. If your major is adjacent, document coursework that covers analytical methods, data modeling, or financial analysis.
Verify prevailing wage before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your location and SOC code. Run the OFLC Wage Search using the Staff Analyst SOC code for your target city before you receive an offer, so you enter salary conversations with accurate benchmarks.
Target employers with active LCA filing history
Find Staff Analyst roles at companies that have already certified LCAs for analyst-level positions. Migrate Mate surfaces employers with verified H-1B visa sponsorship history by role type, so you can focus applications on organizations that have cleared this process before.
Confirm each worksite has its own LCA
If your Staff Analyst role involves client sites, project-based worksites, or a hybrid arrangement across multiple office locations, each worksite requires a separately certified LCA. Raise this with your employer's HR or immigration counsel before your start date to avoid compliance gaps.
Use O*NET to anchor specialty occupation documentation
The O*NET occupation profile for Management Analysts and related Staff Analyst codes lists the knowledge domains and education level USCIS expects. Reference this profile when reviewing your offer letter to confirm the job description aligns with degree-requiring duties rather than clerical or generalist tasks.
File I-129 with enough lead time for the cap
H-1B cap selection rules have changed recently, so coordinate with your employer early. USCIS recommends employers begin the registration process well before the fiscal year filing window. A delayed start can cost you an entire cycle if the registration deadline passes before your petition is submitted.
H-1B Visa Staff Analyst: Frequently Asked Questions
Does a Staff Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, Staff Analyst positions typically qualify when the role requires at least a bachelor's degree in a directly related field such as business, economics, statistics, or operations research. The job description must reflect degree-level analytical duties rather than generalist or administrative tasks. USCIS reviews the actual responsibilities, not just the job title, so your employer's offer letter and LCA need to reflect that specificity.
How do I find employers who sponsor H-1B visas for Staff Analyst roles?
Search on Migrate Mate, which lists employers with verified H-1B LCA filing history by role type and location. Focusing on organizations that have already sponsored Staff Analyst or similar management analyst positions reduces the risk of approaching employers unfamiliar with the sponsorship process, which can slow or derail offers.
What happens to my H-1B status if my Staff Analyst role changes scope significantly?
A material change in job duties, location, or salary can require your employer to file an amended H-1B petition with USCIS. If your role shifts from pure analysis to managing a team or changes primary worksites, the LCA may also need recertification. Confirm with your employer's immigration counsel before accepting any significant role changes.
How long does H-1B status last for a Staff Analyst position?
H-1B status is granted for an initial period of up to three years and can be extended to a maximum of six years. Extensions beyond six years are available only if you have an approved I-140 or a pending PERM labor certification that has been filed for at least 365 days. USCIS handles all extension filings, and your employer bears that responsibility.
Can I transfer my H-1B to a new employer mid-employment as a Staff Analyst?
Yes, H-1B portability lets you start work with a new employer once they file a non-frivolous I-129 transfer petition, without waiting for USCIS approval. The new employer must still certify a fresh LCA reflecting the correct prevailing wage for your new location and SOC code. Your authorized status from the prior employer continues during the transfer period.