J-1 Visa Analytics Engineer Jobs
Analytics Engineer roles in the United States are accessible to international professionals through the J-1 visa under the Trainee or Research Scholar category, depending on your career stage. Designated sponsors issue the DS-2019 and coordinate sponsorship with your host employer, covering data pipeline, modeling, and analytics platform 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 is 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, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
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)
COMPENSATION
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 say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. 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 Engineer
Align your training plan with analytics deliverables
Your DS-2019 training plan must map your day-to-day work to concrete learning objectives. Document specific tools you'll use, such as dbt, Spark, or Snowflake, and the competencies each phase builds. Vague plans get rejected by designated sponsors.
Verify your J-1 category before applying
If you're currently enrolled and completing a practicum, the Intern category applies. If you've graduated and have relevant professional experience, you qualify under Trainee. Applying under the wrong category delays your DS-2019 issuance and can void a job offer.
Search for employers using Migrate Mate
Use Migrate Mate to filter Analytics Engineer roles at U.S. companies that have hosted J-1 visa exchange visitors before. Targeting employers familiar with the host-organization model saves you weeks of educating hiring managers about how J-1 sponsorship works.
Confirm the host employer will sign the training agreement
The hiring company must formally agree to serve as a host organization and co-sign the training plan your designated sponsor prepares. Get written confirmation from the employer's HR team before accepting any offer, since some companies decline after initial interest.
Check whether your role triggers the two-year home residency requirement
Analytics Engineers funded by a government or international organization, or whose home country has a skills shortage in data and technology fields, may face a two-year home residency requirement after their program ends. Review your J-1 visa stamp and DS-2019 for the section 212(e) notation before planning next steps.
Request a wage review against OFLC Wage Search benchmarks
Ask your prospective host employer to verify your offered compensation against prevailing wage levels using the OFLC Wage Search before your training plan is submitted. A wage that falls below the applicable level can trigger sponsor rejection or DOL scrutiny during program monitoring.
Analytics Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category covers Analytics Engineer roles?
Most Analytics Engineer positions fall under the Trainee category if you hold a relevant degree and have at least one year of professional experience outside the United States. If you're completing a degree program and the role is part of a practicum or curriculum requirement, the Intern category applies instead. Research Scholar is reserved for postdoctoral or faculty-level analytics research at universities or research institutes, not industry analytics roles.
Who actually sponsors my J-1 visa for an Analytics Engineer position?
Your J-1 sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, AIPT, or IIE, not your hiring employer. The employer functions as the host organization. The designated sponsor issues your DS-2019, monitors program compliance, and maintains the legal relationship with the State Department. Your host employer signs the training plan but is not the visa sponsor in any legal sense.
How do I find U.S. employers open to hosting J-1 Analytics Engineers?
Use Migrate Mate to identify Analytics Engineer openings at companies that have prior experience working with J-1 exchange visitors. Many employers are unfamiliar with the host-organization model and the training plan requirement, so targeting companies with existing J-1 experience significantly reduces friction during hiring. Focusing on data-intensive industries like fintech, health tech, and enterprise SaaS also helps, since these employers commonly engage international talent pipelines.
Can I switch employers mid-program if a better Analytics Engineer role comes up?
Changing host employers during a J-1 program requires your designated sponsor's approval and typically necessitates an amended or new DS-2019. The new host must agree to co-sign a revised training plan and meet the sponsor's host-organization requirements. Switching is possible but not guaranteed, and you cannot begin work at the new employer until the sponsor formally approves the change. Plan timeline accordingly, as the process can take several weeks.
What should my J-1 training plan include for an Analytics Engineer role?
A strong training plan for this role specifies the technical stack you'll work with, including data modeling tools, warehouse platforms, and orchestration frameworks, and ties each phase to measurable skills you're developing. It should outline rotation periods if applicable, describe how the experience differs from what's available in your home country, and include supervision details. Designated sponsors will reject plans that read as standard job descriptions rather than structured learning programs.