Product Analytics Intern

How youll contribute to our team of product analysts: 

As a Product Analytics Intern (6 month fixed term) part of the Spend Squad youll join our team of passionate product analysts product managers and engineers helping us scale our Wise card to reach hundreds of millions more customers. 

This role offers the opportunity to convert into a full-time Product Analyst position for students in their final year.

Heres what youll be doing day-to-day:

• Analyze product performance: Dive deep into data to understand how users interact with our Spend product identifying trends opportunities and areas for improvement.

• Solve real-world product challenges: Work closely with product managers and engineers to define problems formulate hypotheses and use data to drive actionable insights and recommendations that enhance the customer experience.

• Empower data-driven decisions: Contribute to building and maintaining intuitive dashboards and reports that enable product teams to quickly access and understand key metrics.

• Collaborate and communicate: Partner with product teams analysts and engineers translating complex data findings into clear concise recommendations for both technical and non-technical audiences.

• Contribute to strategic thinking: Proactively identify and explore new analytical approaches to uncover insights that help prioritize impactful product improvements.

Qualifications :

What does it take These things are essential:

• You are able to start in April or June 2026. 

• Youre eligible to work in Singapore without sponsorship.

• Youre currently pursuing a Bachelors or Masters degree.

• You possess strong analytical and problem solving skills with a proven ability to break down complex problems formulate hypotheses and use data analysis techniques to validate or refute them.

• You have a genuine curiosity for how our Card product works and a passion for understanding user behavior to drive improvements.

• Youre comfortable using SQL to extract and manipulate data.

• You are an excellent communicator able to articulate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders.

• Youre proactive eager to learn demonstrate a growth mindset and thrive in a fast-paced collaborative environment.

Bonus points if you have (but dont worry if you dont!):

• Previous internships or university club experience in product roles consulting roles or data analytics roles. 

• Experience with data visualization tools (e.g. Looker Tableau Power BI).

• Experience with a scripting language such as Python or R for data analysis.

• Experience building data pipelines using DBT.

Additional Information :

You will have flexibility in how and where you work. We understand everyone needs a little something different - so well 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!
Gross salary of 5600 SGD/ month
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 youre confident in your abilities but dont hit every mark on our list we still want to hear from you! Dont hesitate to apply by submitting your updated resume! 

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Full-time