Data Science Analyst Jobs at Intuit with Visa Sponsorship
Data Science Analyst jobs at Intuit span across products like TurboTax, QuickBooks, and Credit Karma, where you'll tackle problems in financial data modeling, experimentation, and machine learning at scale. Intuit has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates.
Find Data Science Analyst Jobs at IntuitOverview
Showing 5 of 24+ Data Science Analyst Jobs at Intuit
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Data Science Analyst Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst Jobs at Intuit.
Get Access To All JobsOverview
The Staff Business Data Analyst will serve as a strategic leader across multiple business units including Consumer Platform and Global Business Solutions Group, owning end-to-end financial analytics, reporting, and operational insights and opportunities. This role is responsible for driving data-informed decision-making, ensuring accuracy and reliability of financial outputs, and building scalable, self-service reporting frameworks and dashboards that enable stakeholders to independently access critical insights.
In addition, this role will be expected to leverage AI and automation capabilities to streamline reporting, generate insights, and reduce manual effort, enabling faster and more scalable decision-making. The ideal candidate will operate with a high degree of independence, influence cross-functional partners, and proactively identify risks and opportunities across the business.
Responsibilities
- Own end-to-end financial reporting and analytics across multiple BUs, ensuring accuracy, completeness, and timeliness of all deliverables (e.g., MBR, WBR, forecasting inputs).
- Design and build meaningful, scalable reporting and dashboards (e.g., Qliksense, Tableau) that provide actionable insights and enable self-service for stakeholders.
- Leverage AI/GenAI tools and automation to streamline reporting processes, generate insights, and reduce manual workflows.
- Drive adoption of AI-enabled insights and automation across the team, setting new standards for how ICS Financial Operations leverages data at scale.
- Partner with cross-functional teams (Finance, Workforce Management, Service Delivery, Partner Management) to translate business questions into data-driven insights and recommendations.
- Proactively identify financial risks, variances, and trends, and clearly communicate drivers and business impact to leadership.
- Lead development of scalable analytics frameworks that reduce manual processes and improve decision-making efficiency.
- Independently manage and prioritize competing requests based on business impact and urgency.
- Oversee run-the-business processes such as PO management and partner payments, ensuring proactive monitoring and execution.
- Mentor junior analysts or contractors and drive best practices in reporting, data quality, and stakeholder engagement.
Qualifications
- 6+ years of experience in business/data analytics, finance analytics, or a related field.
- Proven ability to operate independently across multiple business units and manage complex, cross-functional priorities.
- Strong experience building end-to-end reporting solutions and dashboards (e.g., QlikSense, Tableau).
- Experience leveraging AI/GenAI tools or automation techniques to enhance analytics, reporting, or business processes.
- Advanced analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights.
- Proficiency in data tools and technologies (e.g., SQL, Excel, large-scale data environments).
- Demonstrated ability to influence stakeholders and communicate effectively with both technical and non-technical audiences.
- Experience in financial operations, forecasting, or vendor/partner management is strongly preferred.
- This role requires a demonstrated track record of consistent execution, proactive ownership, and the ability to influence outcomes across teams without direct authority.
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:
- Bay Area California: $169,500 - $229,000
- Southern California Area: $151,000 - $204,000
Overview
The Staff Business Data Analyst will serve as a strategic leader across multiple business units including Consumer Platform and Global Business Solutions Group, owning end-to-end financial analytics, reporting, and operational insights and opportunities. This role is responsible for driving data-informed decision-making, ensuring accuracy and reliability of financial outputs, and building scalable, self-service reporting frameworks and dashboards that enable stakeholders to independently access critical insights.
In addition, this role will be expected to leverage AI and automation capabilities to streamline reporting, generate insights, and reduce manual effort, enabling faster and more scalable decision-making. The ideal candidate will operate with a high degree of independence, influence cross-functional partners, and proactively identify risks and opportunities across the business.
Responsibilities
- Own end-to-end financial reporting and analytics across multiple BUs, ensuring accuracy, completeness, and timeliness of all deliverables (e.g., MBR, WBR, forecasting inputs).
- Design and build meaningful, scalable reporting and dashboards (e.g., Qliksense, Tableau) that provide actionable insights and enable self-service for stakeholders.
- Leverage AI/GenAI tools and automation to streamline reporting processes, generate insights, and reduce manual workflows.
- Drive adoption of AI-enabled insights and automation across the team, setting new standards for how ICS Financial Operations leverages data at scale.
- Partner with cross-functional teams (Finance, Workforce Management, Service Delivery, Partner Management) to translate business questions into data-driven insights and recommendations.
- Proactively identify financial risks, variances, and trends, and clearly communicate drivers and business impact to leadership.
- Lead development of scalable analytics frameworks that reduce manual processes and improve decision-making efficiency.
- Independently manage and prioritize competing requests based on business impact and urgency.
- Oversee run-the-business processes such as PO management and partner payments, ensuring proactive monitoring and execution.
- Mentor junior analysts or contractors and drive best practices in reporting, data quality, and stakeholder engagement.
Qualifications
- 6+ years of experience in business/data analytics, finance analytics, or a related field.
- Proven ability to operate independently across multiple business units and manage complex, cross-functional priorities.
- Strong experience building end-to-end reporting solutions and dashboards (e.g., QlikSense, Tableau).
- Experience leveraging AI/GenAI tools or automation techniques to enhance analytics, reporting, or business processes.
- Advanced analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights.
- Proficiency in data tools and technologies (e.g., SQL, Excel, large-scale data environments).
- Demonstrated ability to influence stakeholders and communicate effectively with both technical and non-technical audiences.
- Experience in financial operations, forecasting, or vendor/partner management is strongly preferred.
- This role requires a demonstrated track record of consistent execution, proactive ownership, and the ability to influence outcomes across teams without direct authority.
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:
- Bay Area California: $169,500 - $229,000
- Southern California Area: $151,000 - $204,000
See all Data Science Analyst Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst Jobs at Intuit.
Get Access To All JobsTips for Finding Data Science Analyst Jobs at Intuit
Align your portfolio to Intuit's data stack
Intuit's Data Science Analyst roles lean heavily on experimentation design, causal inference, and SQL-based analysis across financial products. Showcasing projects that mirror these methods gives your application a concrete edge before you've sent a single email.
Clarify your visa category before applying
Intuit sponsors multiple visa types, so knowing exactly which category fits your situation, whether H-1B, E-3, TN, or F-1 OPT, lets you frame eligibility conversations with recruiters clearly instead of leaving that ambiguity to slow down an offer.
Target Intuit's product analytics teams directly
Data Science Analyst openings at Intuit are distributed across distinct product lines. Filtering job searches by business unit rather than title alone surfaces roles where sponsorship decisions sit with teams that hire internationally on a regular basis.
Use Migrate Mate to find open Intuit roles
Sponsorship-confirmed job listings shift quickly. Use Migrate Mate to browse verified Data Science Analyst openings at Intuit filtered by the visa type you need, so you're applying to roles where sponsorship is already confirmed rather than guessing from the job description.
Time your OPT application to cover the H-1B gap
If you're on F-1 OPT and targeting a full-time Data Science Analyst role at Intuit, confirm your OPT end date against the H-1B October 1 start date. USCIS allows a cap-gap extension if your employer files before OPT expires, but that window requires early coordination.
Request a PERM timeline discussion before signing
For EB-2 or EB-3 green card sponsorship, ask Intuit's recruiting team early in the offer stage whether the role qualifies for PERM and what their typical initiation timeline looks like. DOL processing for PERM currently runs six months or longer, so starting that conversation at offer stage is practical, not premature.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Data Science Analysts?
Yes, Intuit sponsors H-1B visas for Data Science Analyst roles. The role typically qualifies as a specialty occupation given its degree requirements in fields like statistics, computer science, or mathematics. Intuit files H-1B petitions through the standard USCIS cap lottery in March, so coordinating with their recruiting team well before the registration window opens is important for cap-subject candidates.
How do I apply for Data Science Analyst jobs at Intuit?
Applications go through Intuit's careers portal, where you can filter by role and location. Before applying, confirm the listing is open to sponsored candidates by reviewing the job description for sponsorship language or by asking the recruiter directly during a screening call. Migrate Mate aggregates verified Data Science Analyst openings at Intuit filtered by visa type, which can help you identify the right roles faster.
Which visa types does Intuit typically use for Data Science Analyst roles?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for Data Science Analysts. Australian citizens are well-positioned for the E-3 visa, which has no lottery. Canadian and Mexican nationals may qualify under TN visa. F-1 students often begin on OPT or CPT before transitioning to an employer-sponsored visa.
What qualifications does Intuit expect for Data Science Analyst roles?
Most Data Science Analyst roles at Intuit require a bachelor's degree or higher in a quantitative field such as statistics, mathematics, computer science, or economics. Practical experience with SQL, Python or R, and A/B testing methodology is consistently referenced in Intuit's job descriptions. Roles within financial products like TurboTax or QuickBooks often prioritize experience with large-scale behavioral or transactional datasets.
How long does the visa sponsorship process take for a Data Science Analyst role at Intuit?
Timeline depends heavily on visa type. E-3 and TN visas can be processed in weeks, with E-3 requiring a certified Labor Condition Application from DOL before the consular appointment. H-1B sponsorship is tied to the USCIS lottery in March with an October 1 start date, so the full cycle can run six to twelve months. PERM-based Green Card sponsorship through DOL typically adds at least six months before USCIS petition filing.