E-3 Visa Data Consultant Jobs
Data Consultant roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree in fields like statistics, computer science, or information systems. The E-3 has no lottery and no annual cap, so you can move from offer to consulate appointment without waiting for a selection round.
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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 369+ E-3 Visa Data Consultant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Consultant Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Consultant
Match your degree field to the role
E-3 visa requires your degree to align specifically with the Data Consultant position, not just any bachelor's. A statistics or computer science degree maps cleanly, but an unrelated degree needs supporting documentation showing field equivalency through coursework or credentials.
Target employers filing LCAs for data roles
Search the DOL's Foreign Labor Application Gateway for certified LCAs under job titles like Data Analyst, Data Consultant, or Business Intelligence Analyst. Employers with recent LCA filings already understand the E-3 process and are far more likely to sponsor.
Frame sponsorship before salary negotiation begins
Raise E-3 sponsorship requirements early in the offer conversation. The employer must file the LCA with the DOL before you can apply at the consulate, so confirming their willingness upfront prevents wasted time if they're unwilling to complete that step.
Get your Australian credentials assessed formally
A three-year Australian bachelor's in data science or IT is generally accepted as equivalent to a U.S. four-year degree, but have a credential evaluation letter ready. USCIS officers and consular staff may request written verification, especially for roles where degree-field alignment is borderline.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. The LCA must be certified by the DOL before your consulate appointment, and errors in prevailing wage classification can delay or invalidate the filing.
Clarify your work arrangement before the LCA is filed
Data Consultants often work across multiple client sites or remotely. The LCA must list specific worksite locations, so if your role involves client travel or hybrid arrangements, confirm the primary work address with your employer before the DOL filing to avoid amendment requests later.
E-3 Visa Data Consultant: Frequently Asked Questions
How do I find Data Consultant jobs that offer E-3 visa sponsorship?
Search Migrate Mate to filter Data Consultant roles by E-3 sponsorship eligibility. Most generic job boards don't surface whether an employer has E-3 filing experience. Migrate Mate is built specifically for Australian professionals and shows employers with a history of sponsoring Australian workers through the E-3 process.
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 Data Consultant role qualify as a specialty occupation for the E-3?
Yes, if the position requires at least a bachelor's degree in a specific field like data science, statistics, computer science, or information systems. The key test is whether the degree requirement is tied to the role itself, not just listed as a preference. If the job posting says 'bachelor's preferred' rather than 'required,' that can undermine the E-3 specialty occupation case and should be clarified with the employer before the LCA is filed.
How does the E-3 compare to the H-1B for Data Consultant roles?
The E-3 has no annual cap and no lottery, so you can apply any time after receiving a job offer. The H-1B visa has an 85,000-slot annual cap and requires lottery selection before any petition can be filed, which means you could wait over a year before starting work. For Data Consultants with Australian citizenship, the E-3 is a direct path that doesn't depend on random selection.
Can I change employers or projects while on an E-3 as a Data Consultant?
You can change employers, but the new employer must file a fresh LCA with the DOL and you'll need a new visa stamp if yours is tied to the previous employer. Changing roles within the same employer, such as moving between client engagements, generally doesn't require a new filing unless your job title, worksite, or salary changes materially from what the original LCA specified.