E-3 Visa Data And Analytics Jobs
Data and analytics roles in the U.S. qualify as E-3 specialty occupations, making Australian professionals eligible to work without entering a lottery. Employers in this field routinely provide E-3 visa sponsorship, covering the Labor Condition Application and consulate paperwork for data scientists, analysts, and BI engineers.
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Get Access To All JobsINTRODUCTION
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
DESCRIPTION
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations - requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools - ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams - including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering - to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Responsibilities
Business Intelligence & Data Leadership
- Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
- Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
- Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
Data Strategy & Automation
- Serve as the data expert for US Sales Operations, responsible for maintaining high-quality data sources that power sales systems, AI models, forecasting tools, compensation engines, and analytics dashboards.
- Build and maintain robust data pipelines that integrate CRM, D&B, B&E, compensation systems, and other enterprise sources - leveraging existing Analytics and Enterprise Systems teams while providing technical direction.
- Design and implement agentic workflows and intelligent automation solutions that streamline manual processes, reduce errors, and improve efficiency across sales planning, forecasting, territory design, and compensation.
Cross-Functional Leadership & Execution
- Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
- Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
- Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools - coordinating execution while staying hands-on for complex challenges.
Analytics & Insights
- Define KPIs and provide direction to Analytics teams on dashboard design, reporting frameworks, and analytical capabilities - ensuring reports deliver actionable insights that drive business decisions.
- Conduct deep-dive analysis on sales data to identify trends and opportunities, translating insights into recommendations for Sales Operations leadership.
- Develop executive-ready reports and presentations that communicate complex data concepts in clear, business-focused language.
PREFERRED QUALIFICATIONS
- Hands-on coding experience with Python or R for data analysis and automation scripting.
- Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
- Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
- Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
- Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
- MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
MINIMUM QUALIFICATIONS
- 6+ years of related experience in sales operations, revenue operations, business intelligence, data analytics, or technical operations supporting sales or finance functions.
- Strong data and analytics expertise including proficiency in SQL, data warehousing, ETL processes, data quality management, and building data pipelines.
- Hands-on experience with data visualization and analytics tools (Tableau, Power BI, etc.) to build dashboards and deliver actionable insights.
- Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
- Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
- Strong business acumen with understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
- Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
- Exceptional communication and leadership skills with ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
- Comfortable balancing strategic leadership with hands-on innovation - able to direct teams while remaining technically engaged to prototype and validate new solutions.
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience required.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
INTRODUCTION
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
DESCRIPTION
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations - requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools - ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams - including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering - to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Responsibilities
Business Intelligence & Data Leadership
- Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
- Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
- Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
Data Strategy & Automation
- Serve as the data expert for US Sales Operations, responsible for maintaining high-quality data sources that power sales systems, AI models, forecasting tools, compensation engines, and analytics dashboards.
- Build and maintain robust data pipelines that integrate CRM, D&B, B&E, compensation systems, and other enterprise sources - leveraging existing Analytics and Enterprise Systems teams while providing technical direction.
- Design and implement agentic workflows and intelligent automation solutions that streamline manual processes, reduce errors, and improve efficiency across sales planning, forecasting, territory design, and compensation.
Cross-Functional Leadership & Execution
- Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
- Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
- Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools - coordinating execution while staying hands-on for complex challenges.
Analytics & Insights
- Define KPIs and provide direction to Analytics teams on dashboard design, reporting frameworks, and analytical capabilities - ensuring reports deliver actionable insights that drive business decisions.
- Conduct deep-dive analysis on sales data to identify trends and opportunities, translating insights into recommendations for Sales Operations leadership.
- Develop executive-ready reports and presentations that communicate complex data concepts in clear, business-focused language.
PREFERRED QUALIFICATIONS
- Hands-on coding experience with Python or R for data analysis and automation scripting.
- Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
- Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
- Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
- Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
- MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
MINIMUM QUALIFICATIONS
- 6+ years of related experience in sales operations, revenue operations, business intelligence, data analytics, or technical operations supporting sales or finance functions.
- Strong data and analytics expertise including proficiency in SQL, data warehousing, ETL processes, data quality management, and building data pipelines.
- Hands-on experience with data visualization and analytics tools (Tableau, Power BI, etc.) to build dashboards and deliver actionable insights.
- Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
- Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
- Strong business acumen with understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
- Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
- Exceptional communication and leadership skills with ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
- Comfortable balancing strategic leadership with hands-on innovation - able to direct teams while remaining technically engaged to prototype and validate new solutions.
- Bachelor's degree in Business Analytics, Data Science, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience required.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 259+ Data And Analytics jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data And Analytics roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data And Analytics
Frame your credentials for U.S. specialty occupation
Australian three-year bachelor's degrees in statistics, computer science, or a quantitative field are generally accepted as equivalent to U.S. four-year degrees. Request an official transcript and have it ready to present alongside your offer letter before the LCA is filed.
Target employers with active LCA filing history
Search the DOL's Foreign Labor Application Gateway for certified LCA filings under data analyst, data scientist, and business intelligence job titles. Employers who have filed before understand the process and are far less likely to stall at the offer stage.
Clarify the specialty occupation link early
Data and analytics titles vary widely. Confirm with your prospective employer that the job description explicitly requires a bachelor's degree in a specific field like statistics, data science, or computer science, not just any degree. A vague requirement can complicate the LCA certification.
Use Migrate Mate's E-3 filing service for LCA paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This avoids the common delay where employers unfamiliar with E-3 requirements spend weeks coordinating with outside counsel before filing.
Negotiate consulate preparation into your offer timeline
The E-3 is consulate-issued, so you'll attend a visa interview in Australia after your LCA is certified. Build at least three to four weeks of post-LCA preparation time into your agreed start date so your employer isn't caught off guard by the consulate step.
Understand the E-3 renewal cycle for contract roles
Analytics contractors and fixed-term employees can renew the E-3 indefinitely in two-year increments, but each renewal requires a current LCA tied to your active role. If your job title or employer changes before renewal, a new LCA must be filed before the old one expires.
Data And Analytics jobs are hiring across the US. Find yours.
Find Data And Analytics JobsData And Analytics E-3 Visa: Frequently Asked Questions
How do I find data and analytics jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search data and analytics roles filtered by E-3 visa sponsorship. Migrate Mate surfaces employers with confirmed LCA filing history in data science, business intelligence, and analytics titles, so you're applying to companies already familiar with the E-3 process rather than educating hiring managers from scratch.
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.
How does the E-3 compare to the H-1B for data and analytics professionals?
Both visas require a specialty occupation and a bachelor's degree in a relevant field, but the E-3 has no annual cap and no lottery. H-1B registrations are capped at 85,000 per year, and selection is random. Australian nationals in data and analytics roles can apply for an E-3 at any time of year, and approvals are consulate-issued, often within weeks of filing.
Does my analytics job title need to match the LCA exactly?
The LCA must reflect the actual role you'll perform, and the job title must correspond to a recognised Standard Occupational Classification code. Titles like Data Scientist, Business Intelligence Analyst, and Data Engineer each map to distinct SOC codes in the DOL system. Your employer should confirm the correct code before the LCA is submitted to avoid a certification delay.
Can I switch data and analytics employers after my E-3 is approved?
Yes, but the E-3 is employer-specific. When you change employers, your new company must file a fresh LCA before you start working for them. You'll also need a new visa if your current stamp lists the previous employer, which means returning to a U.S. consulate in Australia for a new interview. There's no portability provision equivalent to what exists for H-1B holders.
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