E-3 Visa Risk Data Analyst Jobs
Risk Data Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a quantitative field. Australian professionals can secure employer sponsorship through the E-3 without entering a lottery, with no annual cap limiting your options and indefinite two-year renewals tied to continued employment.
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One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With QuickBooks, America’s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.
We are seeking a Senior Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit’s Global Business & Self-Employed Group (GBSG). The successful analyst will work across functions (Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group’s short and long-term business outcomes.
This role will focus on collaborating with a large Risk Operations team and Risk policy analysts to evaluate existing risk policies for fraud, financial and compliance risk mitigation, evaluating existing manual risk case review processes to drive operational efficiency and find ways to scale our internal processes for business and customer growth. Responsibilities will primarily focus on measuring effectiveness and efficiency of our risk policies and risk operational processes related to agent/manual case reviews. Successful candidates for this role will leverage risk expertise, financial analytics and innovative risk strategies to enable Intuit’s SMB growth and expansion, achieve optimal profitability, while keeping operational costs low and enhance trust-related merchant and consumer experience.
Responsibilities
- Ability to analyze & research large data sets, develop insights and translate insights into business opportunities/requirements.
- Develop compelling visualizations for story telling that crystallize business opportunities for stakeholders and leaders to make timely decisions.
- Understand various aspects of Risk Operations in detail and build comprehensive KPIs to monitor performance.
- Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk operational processes effectiveness and efficiency.
- Ability to perform quantitative and business trade off decisions to improve risk operation processes to mitigate Risk in payments, payroll and capital loan products.
- Effectively able to work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback.
- Ability to work with data engineers and technology teams to enhance/enrich our data ecosystem/risk data marts.
- Deliver ideas and insights as you collaborate with partner teams, such as engineering, data science & operations to build risk detection systems that drive overall efficiency, customer experience and agent investigation capabilities.
- In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for a project.
- Team player with experience working on cross functional. Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously.
Qualifications
- Strong analytical ability and proven business acumen with at least 5 years of relevant experience. Experience in Financial Services or FinTech highly preferred.
- Advanced SQL, Python and coding skills to perform data segmentation and aggregation from scratch.
- Good working experience with data analytics and visualization tools like Tableau and Quicksight.
- Excellent written and verbal communication skills.
- High degree of accountability, organization and empathy.
- Experience working with Key Performance Indicator (KPI or OKR) metrics.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations.
- Ability to tell stories with data, identify key insights and support data-driven decision making for our stakeholders.
- Able to work in a fast-paced working environment, multitask, balancing short & long term strategic implications to meet or exceed business objectives.
- Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience. An MBA or graduate degree in a related field is a plus or equivalent experience.
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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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:
- Mountain View $150,500 - $204,000
- New York City $140,500 - $190,000
Overview
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With QuickBooks, America’s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.
We are seeking a Senior Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit’s Global Business & Self-Employed Group (GBSG). The successful analyst will work across functions (Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group’s short and long-term business outcomes.
This role will focus on collaborating with a large Risk Operations team and Risk policy analysts to evaluate existing risk policies for fraud, financial and compliance risk mitigation, evaluating existing manual risk case review processes to drive operational efficiency and find ways to scale our internal processes for business and customer growth. Responsibilities will primarily focus on measuring effectiveness and efficiency of our risk policies and risk operational processes related to agent/manual case reviews. Successful candidates for this role will leverage risk expertise, financial analytics and innovative risk strategies to enable Intuit’s SMB growth and expansion, achieve optimal profitability, while keeping operational costs low and enhance trust-related merchant and consumer experience.
Responsibilities
- Ability to analyze & research large data sets, develop insights and translate insights into business opportunities/requirements.
- Develop compelling visualizations for story telling that crystallize business opportunities for stakeholders and leaders to make timely decisions.
- Understand various aspects of Risk Operations in detail and build comprehensive KPIs to monitor performance.
- Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk operational processes effectiveness and efficiency.
- Ability to perform quantitative and business trade off decisions to improve risk operation processes to mitigate Risk in payments, payroll and capital loan products.
- Effectively able to work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback.
- Ability to work with data engineers and technology teams to enhance/enrich our data ecosystem/risk data marts.
- Deliver ideas and insights as you collaborate with partner teams, such as engineering, data science & operations to build risk detection systems that drive overall efficiency, customer experience and agent investigation capabilities.
- In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for a project.
- Team player with experience working on cross functional. Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously.
Qualifications
- Strong analytical ability and proven business acumen with at least 5 years of relevant experience. Experience in Financial Services or FinTech highly preferred.
- Advanced SQL, Python and coding skills to perform data segmentation and aggregation from scratch.
- Good working experience with data analytics and visualization tools like Tableau and Quicksight.
- Excellent written and verbal communication skills.
- High degree of accountability, organization and empathy.
- Experience working with Key Performance Indicator (KPI or OKR) metrics.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations.
- Ability to tell stories with data, identify key insights and support data-driven decision making for our stakeholders.
- Able to work in a fast-paced working environment, multitask, balancing short & long term strategic implications to meet or exceed business objectives.
- Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience. An MBA or graduate degree in a related field is a plus or equivalent experience.
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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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:
- Mountain View $150,500 - $204,000
- New York City $140,500 - $190,000
See all 209+ E-3 Visa Risk Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Risk Data Analyst Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Risk Data Analyst
Translate your Australian credentials for U.S. employers
U.S. hiring teams may not recognize Australian degree naming conventions. Frame your quantitative degree explicitly as equivalent to a U.S. bachelor's in statistics, mathematics, or data science to avoid specialty occupation doubts during the LCA review.
Target financial services and insurance firms first
Banks, insurers, and credit institutions have dedicated risk functions and established E-3 visa filing workflows. These employers already understand the specialty occupation argument for risk data roles, which shortens the sponsorship conversation significantly.
Request a compliant job description before signing
Your offer letter's job title and duties must support the specialty occupation classification the DOL reviews during LCA certification. Ask your prospective employer to confirm the description explicitly requires a degree in a specific quantitative field.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
The LCA must be certified by the DOL before your consulate appointment, and errors in wage level classification or job duties can cause delays. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing that risk.
Clarify your E-3 status timeline with your employer's HR team
E-3 petitions don't require USCIS approval before your consulate interview, unlike H-1B visa. Confirm your employer understands this distinction so they don't slow the process waiting for an approval notice that isn't part of the E-3 pathway.
Search for roles with active E-3 sponsorship history on Migrate Mate
Not every employer advertising risk analyst roles will sponsor an E-3. Use Migrate Mate to filter for employers with documented E-3 sponsorship activity so your applications go to companies already set up to file.
E-3 Visa Risk Data Analyst: Frequently Asked Questions
How do I find Risk Data Analyst jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search for Risk Data Analyst roles filtered by E-3 visa sponsorship history. Many employers advertise analyst positions without specifying visa support, so filtering by confirmed sponsorship activity saves time. Migrate Mate surfaces roles where employers have already navigated the E-3 process, making your application process significantly more direct.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Risk Data Analyst role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific quantitative field such as statistics, mathematics, actuarial science, or data science. The role must genuinely require that degree, not merely prefer it. Generalist analyst roles where any degree suffices can face LCA scrutiny, so the job description's degree requirement language matters.
How does the E-3 compare to the H-1B for Risk Data Analyst roles?
The E-3 has no annual lottery and no numerical cap, so Australian professionals can apply at any point in the year and receive a decision at the consulate without waiting for a selection round. H-1B registration opens once annually and selection is randomized. For risk data roles, the E-3 is faster to activate once you have an offer and a certified LCA from the DOL.
Can I switch Risk Data Analyst employers while on an E-3?
Yes, but the E-3 is tied to your employer, so you'll need a new LCA certified by the DOL and a new visa stamp for the incoming role. You can begin working for the new employer once your consulate appointment is complete. There's no formal portability rule like H-1B's AC21, so plan your transition timeline to avoid a gap in authorized status.