Graduate Product Analyst

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.

Job Description

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.

Your role:

• Query data and analyse it using SQL and/or Python, applying different statistical methods to surface insights and opportunities.
• Define, track, and set up the relevant KPIs the team needs to monitor and improve, and the relevant goals and targets.
• Build data pipelines leveraging SQL and DBT, ensuring 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 significant releases, helping make the right assessment.
• Deliver findings in various formats such as presentations, writeups, or dashboards to maximize adoption and awareness.
• Collaborate with other cross-functional stakeholders in the team, including Product Managers, engineers, designers, working on impactful projects.

Qualifications

What you’ll bring:

• You have graduated in 2026 or will be in 2027 with a Bachelors or Masters degree 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:

• Experience with SQL, Python, or R.
• Experience with fundamental data analysis techniques like descriptive statistics and trend analysis.
• A passion for using numbers and data visualization to tell a story.
• A curious, keen to learn, and proactive nature.
• Open to feedback for improvement.

Nice to Have:

• Experience with data visualization tools like Lightdash, Looker, Tableau.
• Familiarity or interest in scalable data solutions like Airflow/DBT.

Additional Information

You will have flexibility in how and where you work. We understand everyone needs something different—so we’ll do our best to accommodate, 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.

Inclusive teams help us live our values and ensure every member feels respected and empowered to contribute towards our mission and progress in their careers.