Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job DescriptionAs a Graduate Product Analyst, you’ll join our Analytics team on 6th September 2027. This full-time role is an opportunity to have a real impact and kickstart your career.
Analytics team at Wise:
The Product Analytics team at Wise sits under the Product Organisation. It is a function that works closely with the Product, Engineering, Design and other cross-functional teams to support data-driven product development. The team provides analysis, dashboards, data pipelines, experimentation support and recommendations that help Wise prioritise product improvements, solve customer problems and improve user experience across all our core features (Account, Send, Spend, Grow for both consumers and businesses)
Your role:
As a Graduate, you will join the Product Analytics function, get embedded within a specific Product team and support them through leveraging data and analytical methodologies to measure product performance, understand user behavior and identify opportunities to improve Wise’s products and services.
Supported by a Senior analyst, you will work closely with cross-functional partners (Product managers, Research, engineers and designers) to turn data into actionable insights to help them make decisions to improve the product.
You will:
Query data and analyse it using SQL and/or Python, with different statistical methods, to surface the insights and opportunities to help the team deliver more impact.
Define, track and set up the relevant KPIs the team needs to monitor and improve, and the relevant goals and targets
Build the data pipelines leveraging SQL and DBT, necessary to measure your KPIs and ensure scalable and reliable data infrastructure for your domain
Build the relevant dashboards (Lightdash, Superset) for your space to ensure teams are aware of their progress and can self-serve
Set-up, monitor and analyse experiments for any significant release, helping make the right assessment
Deliver your findings (analysis, experiments…) in the relevant format: presentation, writeups, dashboards and so on to maximise adoption and awareness
Tailor your communication style to the relevant audience to help influence and get buy-in for your insights
Collaborate with other cross functional stakeholders in the team, including Product Managers, engineers, designers and others, working on projects that will be the most impactful for our customers
What you’ll bring:
You have graduated in 2026 or will be in 2027 with a Bachelors or Masters degree potentially in Data Science/Analytics, Computer Science, STEM or Economics/Business/Finance.
Ready to start a full-time role on 6th September 2027. This start date is non-negotiable.
Must-Have skills:
You used coding to solve problems before and have some experience with using SQL, Python or R.
You used previously fundamental data analysis techniques, such as descriptive statistics and trend analysis.
You enjoy using numbers and data visualisation to tell a story
You’re curious, keen to learn and proactive by nature
You’re open to and value feedback in order to improve
Nice to Have:
You have previously used a data visualisation tool like Lightdash, Looker, Tableau or similar
You are familiar with scalable data solutions like Airflow/DBT and/or interested in learning more
🏠You will have flexibility in how and where you work. We understand everyone needs a little something different - so we’ll do our best to make it happen, but we recommend coming to the office as much as possible in your first weeks!
🍽️Weekly office lunch and breakfast, coffee, tea and snacks!
💸Salary band: £52,000 GBP/year
🏢Fun and creative offices with social activities
🌟Be part of a global team with a global mindset.
💥Have a real impact. Solve real customer problems.
For more details on location-specific benefits, please check here.
If you are excited about this opportunity and you’re confident in your abilities but don’t hit every mark on our list, we still want to hear from you! Don’t hesitate to apply by submitting your updated resume!
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- Graduated in 2026 or will graduate in 2027 with a Bachelor's or Master's degree, potentially in Data Science, Analytics, Computer Science, STEM, Economics, Business, or Finance.
- Available to start a full-time role on 6 September 2027.
- Prior experience using coding to solve problems and some experience with SQL, Python, or R.
- Experience with fundamental data analysis techniques, including descriptive statistics and trend analysis.
- Ability or interest in using numbers and data visualization to tell a story.
- Curious, keen to learn, and proactive by nature.
- Open to and values feedback to improve.
- Previous experience with a data visualization tool such as Lightdash, Looker, Tableau, or similar.
- Familiarity with scalable data solutions such as Airflow or DBT, or interest in learning more.
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
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Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
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Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
