Graduate Analyst

About the Role

Wise is a global technology company building the best way to move and manage the world’s money. As a Graduate Product Analyst, you will join our North America Regional Analytics team in September 2027. This full-time role offers a chance to make a real impact early and kickstart your career. You will be onboarded with the global Graduate cohort in one of our offices and learn the basics of being a Wiser.

We are hiring three graduates to work as analysts inside our North America product teams, which build Wise for personal and business customers in the US and Canada. Analysts work day to day with product managers and engineers, helping them decide what to build next and whether it worked. You will join one of four teams: Onboarding, Send, Account, or Growth, each owning a different stage of the customer’s journey with Wise. You will have a senior analyst mentor to review your work and help you grow, and you will be part of a team of analysts covering the whole North America product.

Key Responsibilities

• Shape Strategy & Prioritization: Help your team understand where customers struggle and what is worth fixing first by digging into funnels and customer behavior, reading customer feedback and survey responses, and sizing opportunities to prioritize work with the biggest impact. As you grow, you will lead your own discoveries and present recommendations to your product manager.
• Learn Launch Rigor & Experimentation: Help design and analyze A/B tests and pre/post comparisons for new features, and learn to translate results into clear calls: roll out, iterate, or roll back. You will monitor your team’s core metrics and flag when something looks wrong.
• Build on the Semantic Layer: Learn to build and maintain data models and dashboards using Snowflake, dbt, Git, Airflow, Python, and Lightdash, allowing your team to answer their own questions. You will also help improve the AI skills that run our routine reporting.
• Share What You Learn: Explain your findings to your team and the wider NorthAm squad in writing, charts, and in person, ensuring your work leads to a decision.

How We Work With AI

AI skills produce our routine work and deep dives, allowing analysts to focus on discovery. You will use AI tools every day and own the answer, not the tool, by checking the data, the logic, and the conclusion before anyone acts on it.

Where You Could Join

• Onboarding: Owns the first steps of a customer’s journey, including profile creation, verification (KYC/KYB), and taking a first action. Focuses on letting genuine customers through quickly while stopping bad actors.
• Send: Covers what happens when a customer sends money. Comprised of three teams:
• Pay-in: How customers pay money into Wise.
• Payout: How money reaches recipients’ bank accounts, balancing cost, speed, and conversion.
• Payment Risk: Transfer suspensions and chargebacks.
• Account: Owns how customers use Wise as an account for receiving payments with USD and CAD local details, spending with the Wise debit card, and earning a return on money held.
• Growth: Owns the top of the funnel, including how people find Wise, landing pages, the promotion engine, corridor strategy, and pricing.

Your First Six Months

• By three months: Own part of your team’s regular metrics and deliver your first analysis.
• By six months: Lead a discovery or experiment readout from question to recommendation and present it to your team.

Qualifications

What You’ll Bring

• Education: A bachelor’s or master’s degree in a quantitative field such as economics, statistics, mathematics, computer science, or engineering, completed by your start date, or equivalent practical experience.
• Technical Foundations: Experience using SQL, Python, or R to answer a real question with data. Understanding of basic statistics, such as distributions, hypothesis tests, and confidence intervals.
• Curiosity & Product Sense: A desire to understand customer behavior and ask “so what should we do?” about every result.
• Clear Communication: Ability to explain findings to non-technical individuals, both in writing and conversation. Comfortable stating "I don't know yet."
• Ownership: Tendency to finish tasks, ask for help early, and act on feedback.
• AI with Judgment: Ability to use AI tools to work faster and verify their output.
• Right to Work: Authorized to work in the US. Visa sponsorship is not offered for this role.

Nice To Have But Not Essential

• Hands-on experience with any of Snowflake, dbt, Git, Airflow, or Lightdash.
• Exposure to A/B testing or causal inference.
• An internship or project in analytics, data science, product, or finance.
• An interest in payments, fintech, or how people move and manage money across borders.