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.
Find E-3 Visa Data And Analytics JobsOverview
Showing 5 of 835+ Data And Analytics jobs
See all 835+ 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 JobsINTRODUCTION
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
ROLE AND RESPONSIBILITIES
As data & analytics engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.
- The role includes building and maintaining data pipelines for aggregation and post-processing as the project evolves.
- Lead day-to-day operations to ensure organizational delivery of quality results.
- Responsible for provisioning, enabling, scaling and maintaining our team's data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
- Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
- Collaborate with the platform team by building the right tools for observability, monitoring, alerting and self-healing for the day-to-day management of analytics foundations.
- Debug complex problems in distributed environment and ability to run the prod incidents efficiently to follow up with Post incident reviews.
- Developing self-service tools and automation to improve engineering efficiency and the quality of services.
- Excellent verbal and written communication skills.
- Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
- and Cassandra.
- Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
- Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
THE TEAM
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
BASIC QUALIFICATIONS
Required
- 7+yrs of experience designing, developing, and deploying next-generation analytical data products
- Strong hands-on experience in SQL, Spark, and Scala, and data pipeline tools in a production environment (Apache Spark, Kafka, Airflow), CI/CD practices, and version control
- Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality
- Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms
- Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization
- Experience with modern data platforms and lakehouse technologies (e.g., Iceberg, Trino, Superset)
- Good understanding of data modeling, analytics, and metric
- Above average communication skills in order to work directly with stakeholders.
- Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights in analytical world
- Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Hybrid role - On-site Tue-Wed-Thu
PREFERRED QUALIFICATIONS
- Good understanding of data modeling, analytics, and metric design
- Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights
- Exposure to AI/ML, recommendation systems, feature engineering, GenAI, RAG, or other AI-powered data products is a strong plus - role is not exclusively AI-focused
- Knowledge of and experience in leveraging Applied Statistical/ML techniques
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Track record of leading organization-wide strategic initiatives or transformative analytics projects.
- Master's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,700 to $207,800 in CA.
RECRUITING TIPS
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
BENEFITS
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
OUR PEOPLE AND CULTURE
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
OUR PURPOSE
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
PROFESSIONAL DEVELOPMENT
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
INTRODUCTION
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
ROLE AND RESPONSIBILITIES
As data & analytics engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.
- The role includes building and maintaining data pipelines for aggregation and post-processing as the project evolves.
- Lead day-to-day operations to ensure organizational delivery of quality results.
- Responsible for provisioning, enabling, scaling and maintaining our team's data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
- Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
- Collaborate with the platform team by building the right tools for observability, monitoring, alerting and self-healing for the day-to-day management of analytics foundations.
- Debug complex problems in distributed environment and ability to run the prod incidents efficiently to follow up with Post incident reviews.
- Developing self-service tools and automation to improve engineering efficiency and the quality of services.
- Excellent verbal and written communication skills.
- Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
- and Cassandra.
- Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
- Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
THE TEAM
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
BASIC QUALIFICATIONS
Required
- 7+yrs of experience designing, developing, and deploying next-generation analytical data products
- Strong hands-on experience in SQL, Spark, and Scala, and data pipeline tools in a production environment (Apache Spark, Kafka, Airflow), CI/CD practices, and version control
- Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality
- Proficiency with cloud platforms (AWS, Azure, or GCP) and modern data management and visualization platforms
- Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization
- Experience with modern data platforms and lakehouse technologies (e.g., Iceberg, Trino, Superset)
- Good understanding of data modeling, analytics, and metric
- Above average communication skills in order to work directly with stakeholders.
- Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights in analytical world
- Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Hybrid role - On-site Tue-Wed-Thu
PREFERRED QUALIFICATIONS
- Good understanding of data modeling, analytics, and metric design
- Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights
- Exposure to AI/ML, recommendation systems, feature engineering, GenAI, RAG, or other AI-powered data products is a strong plus - role is not exclusively AI-focused
- Knowledge of and experience in leveraging Applied Statistical/ML techniques
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Track record of leading organization-wide strategic initiatives or transformative analytics projects.
- Master's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,700 to $207,800 in CA.
RECRUITING TIPS
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
BENEFITS
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
OUR PEOPLE AND CULTURE
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
OUR PURPOSE
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
PROFESSIONAL DEVELOPMENT
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
See all 835+ E-3 Visa Data And Analytics Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data And Analytics Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in 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 visa 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.
E-3 Visa Data And Analytics: 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 visa 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.