E-3 Visa Data Manager Jobs
Data Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in information management, computer science, or a related field. The E-3 has no lottery and no annual cap, so Australian professionals can start at any time of year with a U.S. employer willing to file an LCA.
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About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
About Team
The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions.
Responsibilities
- Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
- Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
- Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
- Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise.
- Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Qualifications
Minimum Qualifications
- Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
- 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user level modeling.
- Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
- Proficiency in SQL, Python/R.
Preferred Qualifications
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment.
- Passion for the Internet industry and data analysis.
- Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $179200 - $374400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
See all 2,572+ E-3 Visa Data Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Manager
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 visa purposes. Get a credential evaluation before applying so employers don't stall on your qualifications during the offer stage.
Target employers with existing data infrastructure teams
Companies that already run data warehouses, BI platforms, or compliance reporting functions are far more likely to understand why your role requires a specialist degree, which is what the DOL's specialty occupation standard requires for LCA certification.
Use Migrate Mate to find sponsoring employers fast
Migrate Mate lets you search Data Manager roles filtered by E-3 visa sponsorship history, so you're not cold-applying to employers who've never navigated the process. That saves weeks of back-and-forth during your job search.
Clarify job duties before the LCA is filed
Your job title alone won't satisfy the specialty occupation test. Work with your employer to document that the role requires a degree in a specific field, not just any bachelor's degree, before the DOL LCA is submitted.
File your LCA early to protect your start date
DOL typically certifies LCAs within seven business days, but errors or missing prevailing wage data cause delays. Have your employer submit the LCA at least two weeks before your scheduled consulate appointment in Sydney, Melbourne, or Perth.
Hand off the filing process to a specialist service
Managing the LCA, DS-160, and consulate prep while negotiating a job offer is a lot to coordinate. Migrate Mate's E-3 filing service handles the entire process from offer acceptance through your consulate appointment, so nothing falls through the gaps.
E-3 Visa Data Manager: Frequently Asked Questions
How do I find Data Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters Data Manager roles by employers with E-3 sponsorship history, so you're not spending time on companies that have never filed an LCA. Most general job boards don't surface sponsorship status at all, which makes targeted searching nearly impossible without a tool designed for it.
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 Manager role qualify as a specialty occupation for the E-3?
Yes, in most cases. The DOL requires that the role normally demands a bachelor's degree or higher in a specific field, such as information management, computer science, or data engineering. The critical detail is that the job description must specify a field, not just any degree. Roles framed as requiring general business or IT backgrounds can face LCA scrutiny, so the job posting language matters.
How does the E-3 compare to the H-1B for Data Manager roles in the U.S.?
The E-3 is available only to Australian citizens, but for those who qualify it's a significantly more practical path. There's no lottery, no annual cap, and you can apply at any consulate appointment you can book. The H-1B visa requires entering a random lottery in March with results in April, meaning you could wait a full year before getting a slot. For Data Managers with Australian citizenship, the E-3 removes the biggest variable in the process entirely.
Can I switch Data Manager employers after my E-3 is approved?
Yes, but you can't simply transfer the existing visa. Your new employer needs to file a fresh LCA with the DOL and certify the prevailing wage for your new role and location. You'll then need a new E-3 visa stamp, which typically means a return trip to an Australian consulate. Plan for at least a few weeks between offer acceptance and your new start date to allow for LCA certification and scheduling.