Analytics Intern

Posted An Hour Ago
Be an Early Applicant
Singapore, SGP
Hybrid
68K-68K Annually
Internship
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Six-month analytics internship joining the Analytics team to perform data analysis using statistical methods and SQL, collaborate cross-functionally, work with senior analysts, share insights with stakeholders, and contribute to product-impacting projects with potential conversion to a graduate Product Analyst role.
Summary Generated by Built In
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.

More about our mission and what we offer.

Job Description

Role/Programme:

As an Analytics Intern, you’ll join our Analytics team for 6 months (August 2026 - January 2027). 

In this role, you will:

  • Collaborate cross-functionally to shape and build our product

  • Carry out data analysis using various statistical methods and tools to helps us prioritise the most significant changes. All with the help of other senior analysts that will support you during your journey

  • Collaborate with other stakeholders in the team and have the opportunity to share your ideas, working on projects that will be the most impactful for our customers

This role offers the opportunity to convert to a full-time graduate Product Analyst role for students graduating in mid-2027.

Growth and Development:

At Wise, we believe in continuous learning and development. You will have access to:

Mentorship / buddy programme: We’ve a Buddy Programme for you to give you as much possible connection with people who know what you’re going through.

Qualifications

What you’ll bring: 

  • You are able to start a 6 month  internship from August 2026

  • You are a final year student (graduating in 2027)

  • You are currently pursuing a Bachelors or Masters degree in Data Science/Analytics, Computer Science, STEM or Economics/Business/Finance. However, a degree in a technical field is not a must as our selection process prioritises your skills.

  • Eligible to work in Singapore without any sponsorship and available to work in our local office at least twice per week to support your development

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

  • You’re a natural investigator – you are always asking questions, eager to learn new skills, and quick to take initiative.

  • You’re a strong analytical thinker – you are capable of breaking down complex issues, formulating hypotheses and using data analysis to validate solutions.

  • You possess a growth mindset – you value constructive feedback and use it as a tool to grow

  • You're comfortable using SQL to extract and manipulate data.

Good to have:

  • You have used coding to solve problems before (SQL, Python, R). That could be during your studies or as part of a personal project you’re passionate about.

  • You have experience with data visualization tools (e.g., Looker, Tableau, Power BI, Lightdash).

  • You have experience building data pipelines with tools such as DBT.

  • Previous internship experience with a Product Team

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!
💸Gross salary of 5640 SGD /monthly
🏢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

  • Able to start a 6 month internship from August 2026
  • Final year student (graduating in 2027)
  • Currently pursuing a Bachelor's or Master's in Data Science/Analytics, Computer Science, STEM, or Economics/Business/Finance (skills prioritized over degree)
  • Eligible to work in Singapore without sponsorship and available to work in local office at least twice per week
  • Comfortable using SQL to extract and manipulate data
  • Excellent communicator able to explain analytical findings to technical and non-technical stakeholders
  • Strong analytical thinker able to form hypotheses and validate solutions with data
  • Natural investigator, eager to learn and quick to take initiative
  • Experience using coding to solve problems (SQL, Python, R)
  • Experience with data visualization tools (Looker, Tableau, Power BI, Lightdash)
  • Experience building data pipelines with DBT
  • Previous internship experience with a Product Team

What the Team is Saying

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Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
  • Leave & Time Off Breadth Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
  • Parental & Family Support Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.

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The Company
9,000 Employees
Year Founded: 2011

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.

Typical time on-site: Flexible
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