Graduate Product Analyst

Wise; Greater London; Hybrid; GBP 47,000 - 57,000; Full time

Benefits offered by this job

Office lunches

Breakfast & snacks

Flexible working

Job summary

Wise is a global technology company seeking a Graduate Product Analyst to join the Analytics team and support product development with data-driven insights. You will embed within a Product team, leverage data to measure performance and identify opportunities to improve Wise’s products and services.

You will collaborate with Product Managers, engineers and designers to turn data into actionable insights that influence decisions.

Qualifications

• Graduated in 2026 or 2027 with a Bachelor’s or Master’s in Data Science/Analytics, Computer Science, STEM or Economics/Business/Finance.
• Willing to start a full-time role on 6 September 2027, this start date is non-negotiable.
• You have used coding to solve problems with SQL, Python or R.
• You have used basic data analysis techniques (descriptive statistics, trend analysis).
• You enjoy using numbers and data visualisation to tell a story.

Responsibilities

• Query data and analyse it using SQL and/or Python/R to surface insights.
• Define and track KPIs the team needs to monitor and improve.
• Build data pipelines with SQL and DBT to measure KPIs and ensure reliable data infrastructure.
• Create dashboards (Lightdash, Superset) to enable teams to self-serve and monitor progress.
• Set up, monitor and analyse experiments for releases and decisions.

Skills

SQL

Python

R

Education

Data Science/Analytics

Computer Science

Economics/Business/Finance

Tools

Lightdash

Looker

Tableau

Airflow/DBT

Job description

• Compensation: GBP 52,000 - GBP 52,000 - yearly

Company Description

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.

As a Graduate Product Analyst, you’ll join our Analytics team on 6thSeptember 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

Qualifications

What you’ll bring:

You have graduated in 2026 or will be in 2027with 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

Additional Information

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 .

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 .

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