E-3 Visa Data Operations Analyst Jobs
Data Operations Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in data science, information systems, or a related field. Australian professionals can secure employer sponsorship without entering a lottery, with the visa renewable every two years for as long as you hold a qualifying role.
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Get Access To All JobsWHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our Pyxis team within Bain’s digital capabilities ecosystem. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today.
We help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon, focusing on delivering our data and insights in the way that best suits client needs. We augment our datasets with best-in-class machine learning and AI, working across data operations, machine learning, and commercial teams to deliver exceptional results.
WHERE YOU’LL FIT WITHIN THE TEAM
As a Senior Associate, Pyxis Data Operations, you will support the delivery of high-quality, data-driven insights to clients by owning the technical execution of deliverables and leading cross-functional quality assurance initiatives. This role combines advanced data analysis capabilities with strong project coordination and client-facing communication.
You will serve as the internal lead for strategic client relationships, working across data operations, machine learning, and commercial teams to ensure the accuracy, clarity, and impact of insights delivered to clients. You will operate in a continuous improvement environment and contribute to enhancing delivery processes and data quality through automation, documentation, and close collaboration with internal technical teams and external stakeholders.
WHAT YOU’LL DO
Technical Execution & Analysis (50%)
- Conduct deep-dive data analysis and root cause investigations on time-series trends, quality gaps, and ML output issues
- Partner with ML engineers to review, refine, and optimize tagging models and training data
- Execute data cleaning, manipulation, and transformation using SQL, Python, and regex
- Leverage foundational machine learning and NLP knowledge to interpret outputs and guide improvements
Client Delivery & Communication (25%)
- Act as the technical lead for assigned client relationships, managing the execution of deliverables and ensuring data accuracy and relevance
- Translate complex analytical outputs into clear, client-facing materials and presentations
- Provide guidance to internal delivery teams on framing and communicating insights
Cross-functional Coordination & Project Management (15%)
- Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts for all client-facing datasets
- Track timelines and project dependencies to ensure timely and accurate delivery of data products
- Own documentation and continuous improvement efforts related to delivery workflows and QA tools
Process Improvement & Team Contribution (10%)
- Drive improvements in QA/QC methodologies through automation and tool development
- Contribute to internal team upskilling by sharing analytical techniques and coding best practices
- Recommend improvements to data delivery processes based on analysis of recurring issues and feedback
ABOUT YOU
Required Experience
- A Bachelor’s or Master’s degree
- 1-3+ years of data analytics or related experience
- High proficiency in summarizing technical concepts and translating analytics to business impact
- Proficiency in SQL for data analysis including experience with basic regex expressions
- Experience with Python for data analysis and Git/Github for codebase management
- Familiarity with common machine learning topics; NLP knowledge is a nice-to-have
- Experience working in a continuous improvement environment, using data to define processes that continually enhance models and data quality
- Experience working with consumer panel and/or market measurement data is a plus
Working Model
Hybrid: This role follows a hybrid model, requiring in-office presence at least three days per week.
U.S. Compensation Information
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).
Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
- In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $70,000 - $100,000 per year
- Annual discretionary performance bonus
- This role may also be eligible for other elements of discretionary compensation
- 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
- Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
- Generous paid time off, including parental leave, sick leave and paid holidays
- Fully vested 401(k) company contribution
- Paid Life and Long-Term Disability insurance
- Annual fitness reimbursements
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our Pyxis team within Bain’s digital capabilities ecosystem. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today.
We help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon, focusing on delivering our data and insights in the way that best suits client needs. We augment our datasets with best-in-class machine learning and AI, working across data operations, machine learning, and commercial teams to deliver exceptional results.
WHERE YOU’LL FIT WITHIN THE TEAM
As a Senior Associate, Pyxis Data Operations, you will support the delivery of high-quality, data-driven insights to clients by owning the technical execution of deliverables and leading cross-functional quality assurance initiatives. This role combines advanced data analysis capabilities with strong project coordination and client-facing communication.
You will serve as the internal lead for strategic client relationships, working across data operations, machine learning, and commercial teams to ensure the accuracy, clarity, and impact of insights delivered to clients. You will operate in a continuous improvement environment and contribute to enhancing delivery processes and data quality through automation, documentation, and close collaboration with internal technical teams and external stakeholders.
WHAT YOU’LL DO
Technical Execution & Analysis (50%)
- Conduct deep-dive data analysis and root cause investigations on time-series trends, quality gaps, and ML output issues
- Partner with ML engineers to review, refine, and optimize tagging models and training data
- Execute data cleaning, manipulation, and transformation using SQL, Python, and regex
- Leverage foundational machine learning and NLP knowledge to interpret outputs and guide improvements
Client Delivery & Communication (25%)
- Act as the technical lead for assigned client relationships, managing the execution of deliverables and ensuring data accuracy and relevance
- Translate complex analytical outputs into clear, client-facing materials and presentations
- Provide guidance to internal delivery teams on framing and communicating insights
Cross-functional Coordination & Project Management (15%)
- Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts for all client-facing datasets
- Track timelines and project dependencies to ensure timely and accurate delivery of data products
- Own documentation and continuous improvement efforts related to delivery workflows and QA tools
Process Improvement & Team Contribution (10%)
- Drive improvements in QA/QC methodologies through automation and tool development
- Contribute to internal team upskilling by sharing analytical techniques and coding best practices
- Recommend improvements to data delivery processes based on analysis of recurring issues and feedback
ABOUT YOU
Required Experience
- A Bachelor’s or Master’s degree
- 1-3+ years of data analytics or related experience
- High proficiency in summarizing technical concepts and translating analytics to business impact
- Proficiency in SQL for data analysis including experience with basic regex expressions
- Experience with Python for data analysis and Git/Github for codebase management
- Familiarity with common machine learning topics; NLP knowledge is a nice-to-have
- Experience working in a continuous improvement environment, using data to define processes that continually enhance models and data quality
- Experience working with consumer panel and/or market measurement data is a plus
Working Model
Hybrid: This role follows a hybrid model, requiring in-office presence at least three days per week.
U.S. Compensation Information
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).
Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
- In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $70,000 - $100,000 per year
- Annual discretionary performance bonus
- This role may also be eligible for other elements of discretionary compensation
- 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
- Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
- Generous paid time off, including parental leave, sick leave and paid holidays
- Fully vested 401(k) company contribution
- Paid Life and Long-Term Disability insurance
- Annual fitness reimbursements
See all 322+ Data Operations Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Operations Analyst roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Operations Analyst
Verify your degree field supports the role
DOL and USCIS require your degree to align with the specific job, not just data work broadly. A business analytics or information systems degree supports Data Operations Analyst positions more cleanly than a general commerce degree.
Target employers with existing LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to find companies that have certified LCAs for data analyst roles. Prior filings signal the employer already understands the E-3 process and won't treat your offer as a first attempt.
Clarify the specialty occupation case before accepting
Data operations titles vary widely in how employers define them. Confirm the job description explicitly requires a relevant bachelor's degree, not just a preference. A vague job posting can create problems at the LCA certification stage.
Use Migrate Mate's E-3 filing service for your paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. Migrate Mate manages the full process from DOL certification through consulate preparation so you're not navigating it alone.
Address your three-year Australian degree proactively
Australian bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but your employer may not know this. Have a credential evaluation ready before the offer stage to remove any hesitation.
Negotiate who covers the government filing fees
USCIS and DOL fees are the employer's legal obligation for E-3 petitions, not yours. Raise this in the offer conversation before signing. Employers unfamiliar with E-3 sometimes assume these costs are split.
Data Operations Analyst jobs are hiring across the US. Find yours.
Find Data Operations Analyst JobsData Operations Analyst E-3 Visa: Frequently Asked Questions
How do I find Data Operations Analyst jobs that offer E-3 visa sponsorship?
Search Migrate Mate to find Data Operations Analyst roles from employers with verified E-3 sponsorship history. Generic job boards don't filter for visa type, so you end up cold-applying to companies that have never sponsored an Australian. Migrate Mate surfaces employers already set up to run the LCA process, which cuts out the most common barrier for E-3 applicants.
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 Operations Analyst role qualify as a specialty occupation for the E-3?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as data science, information systems, or computer science. The key test is whether the degree is a requirement, not a preference. Roles framed as entry-level or requiring any bachelor's degree can face scrutiny at the LCA stage, so the job description wording matters.
How does the E-3 compare to H-1B for Data Operations Analyst roles?
The E-3 is significantly more practical for Australian professionals in this field. There's no lottery, no annual cap pressure, and you can apply directly at a U.S. consulate in Australia rather than waiting for USCIS to process a petition. The H-1B requires winning a random selection, which has a roughly 25% selection rate. For the same Data Operations Analyst role, an E-3 application can move from offer to visa stamp in a matter of weeks.
Can I change employers or get promoted while on an E-3 as a Data Operations Analyst?
You can change employers, but your new employer must file a fresh LCA before you start. There's no transfer process equivalent to an H-1B portability rule. A significant promotion into a different job classification may also require a new LCA if the role title or duties shift materially. Short gaps between roles are common, but you can't work for the new employer until the LCA is certified.
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