J-1 Visa Analytics Manager Jobs
Analytics Manager roles in the United States are accessible to international professionals through the J-1 visa 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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INTRODUCTION
Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About us
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE
You're joining Notion's People Analytics & Operations team as part of an 18-month rotational program -- the group that builds the insights engine powering every people decision Notion makes. We look for slope over intercept. We care less about where you trained and more about what you've built. If you've ever rebuilt a broken process because it was bothering you, used AI to do something you couldn't have done alone, or found yourself reading about labor economics for fun -- you're the person we're looking for. Over 18 months, you'll rotate across people operations, people analytics, and compensation/benefits. Every rotation is real work with real ownership. On the analytics side, you'll build dashboards that land in exec review, write SQL that powers headcount models, and prototype AI-assisted workflows that help our team move faster. On the operations side, you'll run the HR engine -- managing employee lifecycle transactions in Workday, owning onboarding and offboarding coordination end-to-end, triaging and resolving employee requests, and keeping our people data clean and audit-ready. You'll be paired with a senior operator who will push your craft and raise your bar. We want someone who's hungry, high-agency, and passionate about leveraging AI to build the future of work. Not "I've used ChatGPT" native -- "I use AI every day to move faster and build smarter" native. And you don't just use Notion; you build in it. At the end of 18 months, you'll declare a focus area and move into a permanent team within the People org -- whether that's People Analytics, People Operations, Total Rewards, or staying broad as a high-impact People generalist. We're intentionally building the next generation of the People team from within.
WHAT YOU'LL ACHIEVE
- Build the insights engine: Write SQL that powers our headcount, attrition, and hiring funnel dashboards. Transform raw people data from Workday and Snowflake into crisp analyses that drive real decisions. For example, you might build a model that identifies where we're losing great candidates and propose a process fix.
- Run the HR operations engine: You'll learn how the ops side of the house actually works by doing it. That means executing employee lifecycle transactions in Workday (new hires, transfers, terminations), coordinating onboarding and offboarding end-to-end, triaging and resolving employee requests, supporting compliance and audit readiness, and keeping headcount and requisition data clean. For example, you might own the full ops flow for an onboarding cohort and surface process gaps that shorten time-to-productivity.
- Tell the story in data: Take a messy people question and produce a clean narrative: numbers to insights to recommended decision. You'll own the analytical arc end-to-end -- from pulling the data to presenting it to senior leadership.
- Prototype AI-assisted workflows: Identify manual, repetitive work across HR operations and replace it with something smarter -- automated onboarding task routing, AI-assisted ticket triage, offboarding checklists that run themselves, compliance reminders that don't require a human to send. You'll have real latitude to experiment and ship things that outlive your rotation.
- Build and own our Notion workspace: You'll be the People team's Notion expert. Pages, databases, dashboards, views -- you'll build operating systems the whole team relies on. From day one, you'll be the person others come to when they want to do something in Notion they didn't know was possible.
SKILLS YOU'LL NEED TO BRING
- SQL is your native language: You don't reach for SQL when you have to; you reach for it when you want to think. You can write queries that join, filter, aggregate, and transform data. You debug the wrong answer and figure out exactly why it's wrong.
- Quantitatively sharp: You think in numbers. You've studied business, economics, statistics, or mathematics and it showed up in your work. Analytical storytelling -- connecting numbers to insights to decisions -- is a skill you've already started building.
- High agency, high urgency: You don't wait for perfect instructions. When something's broken, you fix it. When there's ambiguity, you make a call. We look for slope over intercept -- we care more about what you've built and how fast you learn than where you trained.
- AI-fluent: You use AI tools every day as a real multiplier, not a novelty. You know when Claude drafts it faster, when a formula is cleaner, and when you need to write the code yourself. Come ready to show us how you've used AI to do something you couldn't have done alone.
- Notion power user: You live in Notion. You know the difference between a filtered view and a linked database. You get a little excited when you find a cleaner way to structure something. From day one, you'll be one of the most fluent Notion users on the People team.
NICE TO HAVES
- Some exposure to Python -- enough to know what a loop is and when to reach for one
- Familiarity with Workday, Snowflake, or similar HRIS or data warehouse tools
- Prior experience in a business operations, finance, or sales operations context (internships count)
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $40.87 - $59.62 hourly.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.
A Note on AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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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 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 visa, L-1 visa, 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.