E-3 Visa Consulting Analyst Jobs
Consulting Analyst roles qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a relevant field such as business, economics, or management. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. consulting firms.
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Get Access To All JobsWe believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach and Kate Spade New York – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity.
Job Description
Primary Purpose
The Senior Analyst, Data Analytics is a global role that applies advanced analytics, data science, and AI to fuel growth across Tapestry’s international properties. The focus is shifting from routine reporting to forward-looking, actionable insight – supporting adoption of data-based measurement across the organization, and applying automation and AI agents to accelerate decision-making and operational efficiency.
You will partner with business teams worldwide – across Merchandising, Marketing, Digital, Supply Chain, Retail, and Finance – to define the right questions, uncover high-impact opportunities, and translate analysis into practical recommendations that improve revenue, gross margin, and the customer experience.
Key Responsibilities
- Support data integrity, reporting standards, tools architecture, and training – partner across functions to build data-driven analyses, models, and tools that enable self-service insight.
- Shift effort from static reporting to insight generation – build interactive dashboards, dynamic visualizations, and standardized management reporting that surface leading-indicator insights.
- Perform large-scale analyses that uncover demand and acquisition drivers, media-spend efficiency, and revenue/margin-boosting actions; translate results into clear, data-driven stories for senior business audiences.
- Support organization-wide adoption of analytics – track outcomes, document impact, and promote a data-first mindset in planning and decision-making.
- Build and maintain predictive models, automated reporting, and AI-driven recommendations (e.g., demand forecasting, allocation optimization, marketing-spend efficiency) and help embed them in core business processes.
- Develop AI agents that automate analytical workflows – performance commentary, report generation, anomaly detection, and self-service business Q&A.
- Contribute to automation & AI initiatives – execute AI/ML and agentic pilot projects, quantify tangible value, and help scale successful solutions across the global organization.
- Collaborate with data-engineering, data-science, and algorithm teams to improve data sourcing, management, and analytics product solutions.
- Connect with the Global Data Analytics (DA) team to align on reporting standards, share best practices, and support cross-regional data collaboration.
- Maintain data integrity, develop reusable analytics tools, and support stakeholder training so teams can rely on accurate, self-service data.
- Track key business and operational metrics, measure efficiency, and recommend process improvements that maximize sales and gross margin, improve the consumer journey and conversion, and focus the organization on value-creating levers.
Required Skills & Experience
- Natural curiosity and enthusiasm for data analytics.
- 3+ years of hands-on analytics experience (retail, e-commerce, consumer, or consulting preferred).
- Solid understanding of core business metrics, unit economics, and management reporting.
- Experience applying AI/ML and agentic solutions to forecasting, personalization, or automated reporting.
- Advanced SQL and ETL skills.
- Strong data-visualization expertise (Tableau, Power BI, or comparable).
- Hands-on experience with BigQuery or a comparable cloud data warehouse, and with digital analytics platforms such as Google Analytics.
- Proficiency in Python or R for analysis and modeling.
- Demonstrated AI experience – applying machine learning, LLMs, and/or generative AI to business problems.
- Exposure to building AI agents and agentic workflows (e.g., LangChain, LangGraph, AutoGen, or comparable) to automate analysis and decision support.
- Ability to turn business metrics into clear, actionable recommendations and to support adoption of data-based measurement.
- Strong storytelling, communication, and relationship-building skills with business stakeholders.
- Track record of analyses that improved revenue, gross margin, or process efficiency.
- Ability to prioritize dynamically in a fast-paced, global environment.
- Bachelor’s degree in a quantitative or technical discipline.
Preferred Qualifications
- Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps/LLMOps tooling.
- Experience with retail/consumer businesses and global, multi-market operations.
- Interest in advancing data culture and promoting data-centric decision making.
- Master’s degree in a quantitative discipline is a plus.
Our Competencies for All Employees
Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Our Competencies for All People Managers
Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Americans with Disabilities Act (ADA)
Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at 1-855-566-9264.
Base Pay Range
$115,000.00-$125,000.00
Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.
We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach and Kate Spade New York – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity.
Job Description
Primary Purpose
The Senior Analyst, Data Analytics is a global role that applies advanced analytics, data science, and AI to fuel growth across Tapestry’s international properties. The focus is shifting from routine reporting to forward-looking, actionable insight – supporting adoption of data-based measurement across the organization, and applying automation and AI agents to accelerate decision-making and operational efficiency.
You will partner with business teams worldwide – across Merchandising, Marketing, Digital, Supply Chain, Retail, and Finance – to define the right questions, uncover high-impact opportunities, and translate analysis into practical recommendations that improve revenue, gross margin, and the customer experience.
Key Responsibilities
- Support data integrity, reporting standards, tools architecture, and training – partner across functions to build data-driven analyses, models, and tools that enable self-service insight.
- Shift effort from static reporting to insight generation – build interactive dashboards, dynamic visualizations, and standardized management reporting that surface leading-indicator insights.
- Perform large-scale analyses that uncover demand and acquisition drivers, media-spend efficiency, and revenue/margin-boosting actions; translate results into clear, data-driven stories for senior business audiences.
- Support organization-wide adoption of analytics – track outcomes, document impact, and promote a data-first mindset in planning and decision-making.
- Build and maintain predictive models, automated reporting, and AI-driven recommendations (e.g., demand forecasting, allocation optimization, marketing-spend efficiency) and help embed them in core business processes.
- Develop AI agents that automate analytical workflows – performance commentary, report generation, anomaly detection, and self-service business Q&A.
- Contribute to automation & AI initiatives – execute AI/ML and agentic pilot projects, quantify tangible value, and help scale successful solutions across the global organization.
- Collaborate with data-engineering, data-science, and algorithm teams to improve data sourcing, management, and analytics product solutions.
- Connect with the Global Data Analytics (DA) team to align on reporting standards, share best practices, and support cross-regional data collaboration.
- Maintain data integrity, develop reusable analytics tools, and support stakeholder training so teams can rely on accurate, self-service data.
- Track key business and operational metrics, measure efficiency, and recommend process improvements that maximize sales and gross margin, improve the consumer journey and conversion, and focus the organization on value-creating levers.
Required Skills & Experience
- Natural curiosity and enthusiasm for data analytics.
- 3+ years of hands-on analytics experience (retail, e-commerce, consumer, or consulting preferred).
- Solid understanding of core business metrics, unit economics, and management reporting.
- Experience applying AI/ML and agentic solutions to forecasting, personalization, or automated reporting.
- Advanced SQL and ETL skills.
- Strong data-visualization expertise (Tableau, Power BI, or comparable).
- Hands-on experience with BigQuery or a comparable cloud data warehouse, and with digital analytics platforms such as Google Analytics.
- Proficiency in Python or R for analysis and modeling.
- Demonstrated AI experience – applying machine learning, LLMs, and/or generative AI to business problems.
- Exposure to building AI agents and agentic workflows (e.g., LangChain, LangGraph, AutoGen, or comparable) to automate analysis and decision support.
- Ability to turn business metrics into clear, actionable recommendations and to support adoption of data-based measurement.
- Strong storytelling, communication, and relationship-building skills with business stakeholders.
- Track record of analyses that improved revenue, gross margin, or process efficiency.
- Ability to prioritize dynamically in a fast-paced, global environment.
- Bachelor’s degree in a quantitative or technical discipline.
Preferred Qualifications
- Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps/LLMOps tooling.
- Experience with retail/consumer businesses and global, multi-market operations.
- Interest in advancing data culture and promoting data-centric decision making.
- Master’s degree in a quantitative discipline is a plus.
Our Competencies for All Employees
Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn’t upset when things are up in the air; doesn’t have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Our Competencies for All People Managers
Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Americans with Disabilities Act (ADA)
Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at 1-855-566-9264.
Base Pay Range
$115,000.00-$125,000.00
Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.
See all 3,385+ E-3 Visa Consulting Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Consulting Analyst Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Consulting Analyst
Frame your Australian credentials for U.S. employers
Your three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 visa purposes. Pair it with a credential evaluation letter so employers don't hesitate when assessing your eligibility during initial screening.
Target firms with active LCA filing histories
Search the DOL's Office of Foreign Labor Certification disclosure data to find consulting firms that have certified LCAs for Analyst roles. Prior LCA activity signals the employer already understands the E-3 process and won't treat sponsorship as an obstacle.
Search for E-3 sponsorship roles on Migrate Mate
Migrate Mate filters job listings by E-3 visa sponsorship, so you're only seeing roles where employers are already open to the process. Use it to narrow your search to Consulting Analyst positions rather than cold-applying and explaining the visa from scratch.
Clarify specialty occupation status before accepting an offer
A Consulting Analyst role must qualify as a specialty occupation under E-3 requirements, meaning a bachelor's in a specific field is genuinely required, not just preferred. If the job description says 'preferred,' ask the employer to revise it before the LCA is filed with DOL.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
The LCA must be certified by DOL before your consulate appointment can proceed. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the sequence stays on track and nothing delays your start date.
Prepare for nonimmigrant intent questions at your consulate interview
Consulting roles at major firms can raise immigrant intent concerns if interviewers see a clear path to permanent residency. Have a clear, honest explanation of your ties to Australia and your near-term professional goals in the U.S. ready before your interview.
E-3 Visa Consulting Analyst: Frequently Asked Questions
How do I find Consulting Analyst jobs that offer E-3 visa sponsorship?
Migrate Mate is the recommended starting point. It surfaces Consulting Analyst roles where employers are already open to E-3 sponsorship, saving you from filtering through listings that will reject your application at the visa question. You can search by role, location, and sponsorship availability in one place.
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 Consulting Analyst role qualify as a specialty occupation for the E-3?
It depends on how the role is defined. A Consulting Analyst position qualifies if it genuinely requires a bachelor's degree in a specific field such as economics, finance, or management science. Generalist analyst roles where any degree is accepted are less likely to pass DOL scrutiny. The job description needs to state the degree requirement clearly, not just list it as preferred.
How does the E-3 compare to H-1B for Consulting Analyst roles?
The E-3 has two major advantages over H-1B visa for Australians: no annual cap and no lottery. H-1B registration is capped at 85,000 per year and selected by random draw, meaning you could apply and not be selected through no fault of your own. The E-3 lets you start as soon as your employer files an approved LCA and you clear your consulate interview, with no waiting for a lottery result.
Can I change employers or move to a different consulting firm while on E-3?
Yes, but you need a new E-3 visa for each employer change. Your E-3 is tied to a specific employer and the certified LCA they filed. If you move to a new firm, that employer must file a new LCA with DOL and you'll need to attend another consulate interview before you can start working. There's no portability provision like the one available under H-1B.