J-1 Visa Analytics Manager Jobs
Analytics Manager roles in the United States are accessible to international professionals through the J-1 Trainee or Research Scholar program categories, depending on your career stage and host organization. Securing J-1 sponsorship requires a designated State Department sponsor organization to issue your DS-2019 before you can begin work.
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Get Access To All JobsINTRODUCTION
Data Product Manager Project Intern (Monetization) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Intern
JOB CODE:
A200727
Responsibilities:
Team Introduction:
We are the Monetization Data Foundation team, sitting within TikTok’s Global Monetization Product & Technology (GMPT) organization. We empower business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency.
Our mission is to build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem. By collaborating closely with engineering, analytics, and business teams, we deliver innovative solutions that turn raw data into actionable intelligence.
We are seeking a Data Product Manager Project Intern to support the development and scaling of data-driven products within TikTok’s Monetization organization. In this role, you will define the vision, strategy, and execution of data products that empower business teams with actionable insights and scalable solutions.
You will act as a bridge between data, engineering, and business stakeholders, ensuring our data infrastructure and tools meet the needs of a fast-growing global business. This is a high-impact opportunity to shape how data drives decision-making across TikTok’s monetization ecosystem.
Project Intern:
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 6 months long internship period.
Responsibilities:
- Participate in building the data foundation and standardization system for international business. Assist the DPM team in building global data infrastructure, and promote the standardization and large-scale implementation of operational processes, data definition, and indicator systems.
- Collaborate with multiple teams to advance data product solutions and support business decisions. Collaborate with sales, strategy, operations, product, and engineering teams to sort out business problems and data requirements, output implementable analytical research and product solutions, and support the optimization of commercialization strategies and improvement of operational efficiency.
- Participate in automation and productization to improve global business efficiency based on business process and data insights, assist in designing and implementing automated/tool-based solutions, including datasets, visual reports, and analysis tools, to promote large-scale reuse and efficiency improvement.
- Promote data governance and quality management. Assist in building a basic governance system for data field standards, indicator definition alignment, and permissions, to support the stable output and quality monitoring of datasets.
- Precipitate methodologies and support cross-regional training with reusable methodologies from various operational analyses and project practices, and provide training and document support for global/regional operational teams to improve overall analytical capabilities and data tool usage skills.
MINIMUM QUALIFICATIONS:
- Currently pursuing a Bachelor's or Master's degree, with priority given to majors such as Data Science, Statistics, and Business Analysis;
- Priority given to candidates with experience using BI tools (such as Tableau, Power BI, Looker Studio, etc.)
- Able to commit to a full-time, 24 week (6 month) internship, ideally longer
PREFERRED QUALIFICATION:
- Interested in data products, indicator system construction, and data platform tools, with a certain sense of product awareness and logical thinking ability.
- Good communication and collaboration skills, able to support cross-team and cross-timezone communication.
- Available to intern for at least 4 days per week, with an internship period of no less than 6 months (long-term interns are preferred).
- Relevant internship experience in data products, data analysis, or data operations in technology companies is plus.
- Possess solid data processing skills, proficient in using SQL for data querying, cleaning, and analysis; Proficiency in Python/R is a plus.
COMPENSATION
- Compensation Description (Hourly) - Campus Intern
- The hourly rate range for this position in the selected city is $35 - $55.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
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
INTRODUCTION
Data Product Manager Project Intern (Monetization) - 2026 Start (BS/MS)
LOCATION:
San Jose
EMPLOYMENT TYPE:
Intern
JOB CODE:
A200727
Responsibilities:
Team Introduction:
We are the Monetization Data Foundation team, sitting within TikTok’s Global Monetization Product & Technology (GMPT) organization. We empower business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency.
Our mission is to build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem. By collaborating closely with engineering, analytics, and business teams, we deliver innovative solutions that turn raw data into actionable intelligence.
We are seeking a Data Product Manager Project Intern to support the development and scaling of data-driven products within TikTok’s Monetization organization. In this role, you will define the vision, strategy, and execution of data products that empower business teams with actionable insights and scalable solutions.
You will act as a bridge between data, engineering, and business stakeholders, ensuring our data infrastructure and tools meet the needs of a fast-growing global business. This is a high-impact opportunity to shape how data drives decision-making across TikTok’s monetization ecosystem.
Project Intern:
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 6 months long internship period.
Responsibilities:
- Participate in building the data foundation and standardization system for international business. Assist the DPM team in building global data infrastructure, and promote the standardization and large-scale implementation of operational processes, data definition, and indicator systems.
- Collaborate with multiple teams to advance data product solutions and support business decisions. Collaborate with sales, strategy, operations, product, and engineering teams to sort out business problems and data requirements, output implementable analytical research and product solutions, and support the optimization of commercialization strategies and improvement of operational efficiency.
- Participate in automation and productization to improve global business efficiency based on business process and data insights, assist in designing and implementing automated/tool-based solutions, including datasets, visual reports, and analysis tools, to promote large-scale reuse and efficiency improvement.
- Promote data governance and quality management. Assist in building a basic governance system for data field standards, indicator definition alignment, and permissions, to support the stable output and quality monitoring of datasets.
- Precipitate methodologies and support cross-regional training with reusable methodologies from various operational analyses and project practices, and provide training and document support for global/regional operational teams to improve overall analytical capabilities and data tool usage skills.
MINIMUM QUALIFICATIONS:
- Currently pursuing a Bachelor's or Master's degree, with priority given to majors such as Data Science, Statistics, and Business Analysis;
- Priority given to candidates with experience using BI tools (such as Tableau, Power BI, Looker Studio, etc.)
- Able to commit to a full-time, 24 week (6 month) internship, ideally longer
PREFERRED QUALIFICATION:
- Interested in data products, indicator system construction, and data platform tools, with a certain sense of product awareness and logical thinking ability.
- Good communication and collaboration skills, able to support cross-team and cross-timezone communication.
- Available to intern for at least 4 days per week, with an internship period of no less than 6 months (long-term interns are preferred).
- Relevant internship experience in data products, data analysis, or data operations in technology companies is plus.
- Possess solid data processing skills, proficient in using SQL for data querying, cleaning, and analysis; Proficiency in Python/R is a plus.
COMPENSATION
- Compensation Description (Hourly) - Campus Intern
- The hourly rate range for this position in the selected city is $35 - $55.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
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
See all 10+ Analytics Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Manager roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Analytics Manager
Frame your credentials around specialty occupation standards
Analytics Manager positions typically require a degree in statistics, data science, economics, or a related quantitative field. Document that alignment clearly in your CV and training plan before approaching host employers, since designated sponsors review your credentials when issuing the DS-2019.
Target host employers with existing J-1 infrastructure
Search for organizations that have hosted J-1 Trainees or Research Scholars in analytical roles before. Companies with established foreign national hiring processes are far more likely to coordinate with a designated sponsor and sign off on a structured training plan.
Use Migrate Mate to find J-1-aligned Analytics Manager roles
Filter your job search by employers open to J-1 exchange visitors in analytics and data functions. Migrate Mate surfaces U.S. host employers where J-1 sponsorship pathways are realistic, saving you from pitching organizations unfamiliar with the program.
Verify the two-year home residency requirement early
Certain J-1 participants, particularly those funded by their home government or whose skills appear on the Exchange Visitor Skills List, face a two-year home residency requirement before changing to most other U.S. visa categories. Confirm your status with USCIS and your designated sponsor before accepting any offer.
Build a training plan matched to analytics competency gaps
Designated sponsors require a formal training plan outlining the skills you'll develop as a J-1 Trainee or Specialist. For Analytics Manager roles, structure that plan around specific technical or leadership competencies, such as advanced modeling, cross-functional reporting, or data governance, rather than listing generic job duties.
Coordinate the DS-2019 timeline with your offer negotiation
Once a host employer agrees to the arrangement, your designated sponsor issues the DS-2019, which you need before scheduling a visa interview. Build at least four to eight weeks into your start-date negotiation to allow time for sponsor review, training plan approval, and SEVIS fee payment.
Analytics Manager jobs are hiring across the US. Find yours.
Find Analytics Manager JobsAnalytics Manager J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Analytics Manager positions?
It depends on your career stage. The J-1 Trainee category fits professionals with a degree plus at least one year of post-graduation work experience who are developing specific analytical competencies at a U.S. host employer. The Research Scholar or Specialist category applies if the role is based at a university, think tank, or research institution focused on data-driven inquiry rather than commercial analytics operations.
Who actually sponsors my J-1 visa for an Analytics Manager role?
Your visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, and CIEE act as the official sponsor by issuing your DS-2019, enrolling you in SEVIS, and monitoring your program compliance. The company or institution where you perform the analytics work is the host employer, not the sponsor. Both parties must agree to the arrangement before the process can proceed.
How do I find U.S. employers open to hosting J-1 Analytics Managers?
Most employers are unfamiliar with the J-1 Trainee structure, so targeting organizations with prior experience hosting international exchange visitors significantly improves your odds. Migrate Mate lets you search for U.S. employers and Analytics Manager roles where J-1 sponsorship pathways are a realistic fit, so you spend time on opportunities with genuine potential rather than educating employers from scratch.
Does the two-year home residency requirement affect Analytics Manager J-1 participants?
It can. If your J-1 program is financed by your home government, your home country's government, or the U.S. government, or if your field of expertise appears on the Exchange Visitor Skills List for your country, you're subject to the two-year home residency requirement. This means you'd need to return home for two years, or obtain a waiver, before switching to an H-1B, L-1, or immigrant visa. USCIS and your designated sponsor can confirm whether the requirement applies to you.
What should my J-1 training plan include for an Analytics Manager role?
Designated sponsors require a structured training plan that specifies the competencies you'll develop, the methods of instruction, and the supervision structure. For an Analytics Manager position, your plan should identify concrete skill gaps, such as advanced predictive modeling, business intelligence tool proficiency, or data governance leadership, and map each to specific activities at the host employer. Generic job descriptions are routinely rejected, so be precise about measurable learning outcomes.
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