Analytics Engineer Jobs at Intuit with Visa Sponsorship
Analytics Engineer jobs at Intuit involve building and maintaining the data infrastructure that powers products used by millions. The company has a consistent track record of sponsoring work visas across multiple categories for this function, making it a realistic target for international candidates with strong data engineering skills.
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The People & Places Analytics, Research, and Technology (PART) team is looking for a Senior Staff Business Data Analyst to lead the technical strategy for Talent Analytics, spanning workforce planning, talent acquisition, and broader people insights. As Intuit scales its use of people data to power headcount, hiring, and organizational decisions, the volume and complexity of talent data such as, current headcount, open requisitions, planned exits, hiring projections, and recruiting pipeline metrics continues to grow. We need a senior, hands-on analyst who can automate today's manual reconciliation work, build the pipelines and dashboards that scale insight delivery across the talent lifecycle, and apply AI to get the right analytics to the right teams.
This is a highly visible role that will partner directly with senior stakeholders and Intuit's senior leadership team, and will shape how talent data flows from source systems through to executive decision-making.
Responsibilities
Talent Analytics Strategy & Data Ownership
- Own the end-to-end data strategy across talent analytics, including workforce planning (headcount, requisitions, planned exits, hiring projections) and talent acquisition (recruiting funnel, time-to-fill, quality-of-hire)
- Automate manual reconciliation processes to deliver a consistent, trusted, near real-time view of talent data
- Partner with People, Talent Acquisition, and Finance teams to keep talent analytics data aligned across systems
Data Quality, Pipelines & Architecture
- Understand and influence how talent data is structured, stored, and moved across databases, data warehouses, and data pipelines
- Establish and enforce data quality standards so downstream dashboards and executive reporting can be trusted
- Identify opportunities to convert ad hoc or manual data requests into durable, automated solutions
Visualization & Insight Delivery
- Design and build intuitive, high-quality dashboards and visualizations for people leaders, Talent Acquisition, and business stakeholders
- Translate complex talent data into clear narratives and recommendations for senior leaders
- Continuously improve self-service reporting so stakeholders can find answers without requiring a one-off data pull
AI-Enabled Analytics
- Build and deploy AI agents (e.g., using Claude and similar tools) to deliver insights/reporting, automate relevant recurring analytics tasks, applying agent architecture thinking to scale delivery and speed up time-to-insight for stakeholders
- Evaluate and pilot new AI tools and approaches for talent analytics, workforce planning, and people analytics
- Partner with data engineering to ensure talent data is well-structured and AI-ready
Stakeholder & Executive Partnership
- Act as a senior technical thought partner to senior stakeholders, SLT, and Intuit executives on talent data and insights
- Manage ad hoc requests from senior leadership, balancing responsiveness with the discipline of the team's standard intake process
- Present talent data and insights clearly and credibly to senior and executive audiences
Qualifications
- Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field
- 8+ years of experience in business/data analytics, with demonstrated ownership of talent analytics, workforce planning, recruiting/TA, or broader people analytics data
- Strong hands-on experience with building and deploying AI agents to deliver Talent insights at scale
- Working knowledge of data warehouse, data pipeline, and data architecture concepts, and how they affect analytics at scale
- Experience automating manual reporting processes and building scalable dashboards or self-service tools
- Strong data quality instincts, able to define and enforce standards that senior leaders can trust
- Excellent communication skills, with a track record of presenting to and influencing senior stakeholders and executive leadership
- Ability to operate autonomously in ambiguous situations, translating loosely defined requests into structured, durable solutions
Preferred:
- Experience with Workday HCM data and Avature or other ATS/recruiting platforms
- Experience partnering with Talent Acquisition or recruiting analytics teams on funnel, sourcing, or pipeline metrics
- Familiarity with People Data governance, security, and access considerations
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:
Mountain View $184,000 - $249,000
Overview
The People & Places Analytics, Research, and Technology (PART) team is looking for a Senior Staff Business Data Analyst to lead the technical strategy for Talent Analytics, spanning workforce planning, talent acquisition, and broader people insights. As Intuit scales its use of people data to power headcount, hiring, and organizational decisions, the volume and complexity of talent data such as, current headcount, open requisitions, planned exits, hiring projections, and recruiting pipeline metrics continues to grow. We need a senior, hands-on analyst who can automate today's manual reconciliation work, build the pipelines and dashboards that scale insight delivery across the talent lifecycle, and apply AI to get the right analytics to the right teams.
This is a highly visible role that will partner directly with senior stakeholders and Intuit's senior leadership team, and will shape how talent data flows from source systems through to executive decision-making.
Responsibilities
Talent Analytics Strategy & Data Ownership
- Own the end-to-end data strategy across talent analytics, including workforce planning (headcount, requisitions, planned exits, hiring projections) and talent acquisition (recruiting funnel, time-to-fill, quality-of-hire)
- Automate manual reconciliation processes to deliver a consistent, trusted, near real-time view of talent data
- Partner with People, Talent Acquisition, and Finance teams to keep talent analytics data aligned across systems
Data Quality, Pipelines & Architecture
- Understand and influence how talent data is structured, stored, and moved across databases, data warehouses, and data pipelines
- Establish and enforce data quality standards so downstream dashboards and executive reporting can be trusted
- Identify opportunities to convert ad hoc or manual data requests into durable, automated solutions
Visualization & Insight Delivery
- Design and build intuitive, high-quality dashboards and visualizations for people leaders, Talent Acquisition, and business stakeholders
- Translate complex talent data into clear narratives and recommendations for senior leaders
- Continuously improve self-service reporting so stakeholders can find answers without requiring a one-off data pull
AI-Enabled Analytics
- Build and deploy AI agents (e.g., using Claude and similar tools) to deliver insights/reporting, automate relevant recurring analytics tasks, applying agent architecture thinking to scale delivery and speed up time-to-insight for stakeholders
- Evaluate and pilot new AI tools and approaches for talent analytics, workforce planning, and people analytics
- Partner with data engineering to ensure talent data is well-structured and AI-ready
Stakeholder & Executive Partnership
- Act as a senior technical thought partner to senior stakeholders, SLT, and Intuit executives on talent data and insights
- Manage ad hoc requests from senior leadership, balancing responsiveness with the discipline of the team's standard intake process
- Present talent data and insights clearly and credibly to senior and executive audiences
Qualifications
- Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field
- 8+ years of experience in business/data analytics, with demonstrated ownership of talent analytics, workforce planning, recruiting/TA, or broader people analytics data
- Strong hands-on experience with building and deploying AI agents to deliver Talent insights at scale
- Working knowledge of data warehouse, data pipeline, and data architecture concepts, and how they affect analytics at scale
- Experience automating manual reporting processes and building scalable dashboards or self-service tools
- Strong data quality instincts, able to define and enforce standards that senior leaders can trust
- Excellent communication skills, with a track record of presenting to and influencing senior stakeholders and executive leadership
- Ability to operate autonomously in ambiguous situations, translating loosely defined requests into structured, durable solutions
Preferred:
- Experience with Workday HCM data and Avature or other ATS/recruiting platforms
- Experience partnering with Talent Acquisition or recruiting analytics teams on funnel, sourcing, or pipeline metrics
- Familiarity with People Data governance, security, and access considerations
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:
Mountain View $184,000 - $249,000
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at Intuit
Tailor your portfolio to Intuit's data stack
Intuit's Analytics Engineering roles emphasize dbt, Snowflake, and Looker. Before applying, make sure your portfolio or GitHub demonstrates hands-on work with these tools, not just familiarity. Generic SQL projects won't differentiate you in their screening process.
Target roles flagged for multiple visa types
Intuit files across H-1B, E-3, TN, and F-1 OPT categories for Analytics Engineers. When browsing listings, prioritize roles where the job description references relocation support or global candidates, which signals active sponsorship intent rather than case-by-case consideration.
Use Migrate Mate to surface open Analytics Engineer roles
Intuit posts Analytics Engineer openings across multiple teams and product lines, and listings move quickly. Use Migrate Mate to filter for Intuit roles that match your visa type so you're applying to positions where sponsorship is already confirmed.
Align your degree field to the specialty occupation standard
USCIS requires that your degree field directly relate to the Analytics Engineer role for H-1B eligibility. A degree in Computer Science, Statistics, or Information Systems maps cleanly. A business degree with no technical coursework can trigger a Request for Evidence, so document your relevant coursework upfront.
Start OPT applications before your program ends
If you're on F-1, file your OPT EAD application with USCIS up to 90 days before graduation. Intuit's hiring timelines for Analytics Engineers often run six to ten weeks from offer to start date, so gaps in work authorization can delay or complicate onboarding.
Clarify sponsorship scope during the offer stage
Before signing, confirm whether Intuit's offer covers just the initial H-1B petition or also includes Green Card sponsorship through EB-2 or EB-3 PERM. Many candidates assume Green Card support is automatic. Getting this in writing prevents surprises two or three years into the role.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Analytics Engineers?
Yes, Intuit sponsors H-1B visas for Analytics Engineers. The company has an established immigration program that handles petitions across multiple visa categories for technical roles. Because Analytics Engineering qualifies as a specialty occupation under USCIS standards, H-1B is one of the primary pathways Intuit uses to bring on international candidates for this function.
How do I apply for Analytics Engineer jobs at Intuit?
Apply directly through Intuit's careers site or use Migrate Mate to find open Analytics Engineer roles at Intuit filtered by your visa type. Intuit's process typically involves a recruiter screen, a technical assessment focused on SQL and data modeling, and panel interviews covering both technical skills and cross-functional collaboration. Tailoring your resume to reflect experience with tools like dbt and Snowflake improves your chances of clearing the initial screen.
Which visa types does Intuit commonly use for Analytics Engineer roles?
Intuit sponsors across several categories for Analytics Engineers, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and F-1 OPT and CPT for students currently enrolled in U.S. degree programs. For longer-term pathways, Intuit also supports EB-2 and EB-3 Green Card sponsorship for employees in this function, though that typically begins after a candidate is already on staff.
What qualifications does Intuit expect for Analytics Engineer roles?
Intuit typically looks for a bachelor's degree or higher in Computer Science, Statistics, Engineering, or a related technical field. Beyond the degree, strong SQL skills, experience with data modeling, and familiarity with modern data stack tools like dbt, Snowflake, or BigQuery are expected. Senior-level roles often require experience collaborating with data scientists and product managers to translate business requirements into scalable data pipelines.
How do I plan my timeline around H-1B sponsorship at Intuit?
The H-1B cap lottery opens each March for an October 1 start date, which means timing your offer with Intuit matters significantly. If you're on OPT, confirm whether you qualify for the 24-month STEM extension, which gives you more runway before needing a cap-subject H-1B. USCIS premium processing can reduce petition adjudication to about 15 business days, which Intuit commonly uses for new hires who need confirmed status before their start date.