J-1 Visa Analytics Lead Jobs
Analytics Lead roles in the U.S. are accessible to experienced data professionals through J-1 visa sponsorship under the Trainee or Specialist category, both issued by State Department-designated organizations. Your host employer partners with a designated sponsor to file your DS-2019 and training plan before you 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 in Analytics Lead
Align your credentials with Trainee eligibility
The J-1 visa Trainee category requires a degree plus one year of related experience, or five years of work experience in analytics. Audit your transcripts and employment records now so gaps don't stall your DS-2019 application later.
Target host employers with DS-2019 filing history
Not every employer knows how to engage a designated sponsor or structure a training plan for analytics roles. Search on Migrate Mate to identify U.S. companies that have hosted J-1 participants in data and analytics functions before.
Build a training plan around measurable analytics objectives
Designated sponsors require a formal Training or Internship Placement Plan outlining skill-development goals. Frame yours around specific analytics deliverables, tools, and methodologies rather than general job duties to satisfy compliance review.
Verify your host employer can pay prevailing wage
J-1 regulations require compensation at the prevailing wage for your occupation and location. Use the OFLC Wage Search to benchmark Analytics Lead rates by metro area before negotiating your offer, so your host employer's offer clears the threshold.
Confirm your home-country residency requirement status early
Many J-1 Trainee participants are subject to the two-year home-country physical presence requirement under INA Section 212(e). Determine whether this applies to you before accepting an offer, since it affects H-1B visa or green card eligibility afterward.
Coordinate DS-2019 timing with your program start date
Your designated sponsor must issue the DS-2019 before you apply for your J-1 visa stamp. Build at least eight weeks into your timeline for sponsor review, training plan approval, and consular appointment scheduling after your host employer signs off.
Analytics Lead J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an Analytics Lead role?
The Trainee category is the most common fit for Analytics Lead candidates who hold a relevant degree plus at least one year of professional analytics experience. If you have five or more years of experience without a degree, you may still qualify under Trainee. Senior professionals with recognized expertise may qualify under the Specialist category, which requires substantial experience and a specific, non-generalized skill set that the host employer cannot source domestically.
Who actually sponsors the J-1 visa for an analytics position?
The visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as AIPT and Cultural Vistas administer J-1 programs for professional trainees in fields including analytics. The hiring company is the host organization. It works with the designated sponsor to complete your DS-2019 and training plan, but the sponsor holds the regulatory responsibility and issues your exchange visitor documents.
How do I find U.S. employers willing to host J-1 analytics professionals?
Search Migrate Mate to identify U.S. companies that have posted Analytics Lead roles compatible with J-1 sponsorship. Because J-1 hosting requires an employer to coordinate with a designated sponsor and file a formal training plan, targeting companies already familiar with the process significantly reduces friction during the offer stage.
Can I lead a team or manage direct reports on a J-1 Trainee visa?
J-1 Trainee status is designed for skills training and professional development, not permanent employment. Incidental supervisory duties that support your training objectives are generally permissible, but a role where managing others is the primary function raises questions about whether the position meets the training-program purpose. Work with your designated sponsor to structure the training plan so leadership exposure is framed as a development objective with defined analytics deliverables.
Does the two-year home residency requirement apply to Analytics Lead participants?
It depends on your funding source and country of nationality. J-1 participants who receive government funding, whose skills appear on the State Department's Exchange Visitor Skills List for their home country, or who are nationals of countries with bilateral agreements may be subject to the two-year home-country physical presence requirement under INA Section 212(e). Confirm your status with your designated sponsor before accepting an offer, since this requirement blocks H-1B and immigrant visa applications until satisfied or waived.