Wise’s Graduate Product Analyst role in London offers a £52,000 annual salary, hands-on data analytics experience and support from senior analysts. The role is scheduled to start on 6 September 2027.
Important application update: The original official Wise vacancy page currently states that the vacancy has expired. The details below summarise the advertised opportunity. Check Wise’s careers website for any reposted vacancy or similar openings.
Background & Job Description
Wise, a global financial technology company, advertised a Graduate Product Analyst opportunity in London, United Kingdom, for graduates interested in data analytics, product development and data-driven decision-making.
The full-time position was scheduled to begin on 6 September 2027 and offered an annual salary of £52,000.
The successful candidate would join Wise’s Product Analytics team, working alongside product managers, engineers, researchers and designers to analyse customer behaviour, measure product performance and identify opportunities to improve the company’s services.
Graduates would also receive support from a senior analyst while gaining practical experience in SQL, Python, statistical analysis, data visualisation and experimentation.
Programme Overview
| Detail | Information |
|---|---|
| Organisation | Wise |
| Opportunity | Graduate Product Analyst |
| Location | London, United Kingdom |
| Employment type | Full-time |
| Annual salary | £52,000 |
| Scheduled start date | 6 September 2027 |
| Eligible graduation years | 2026 or 2027 |
| Potential degree fields | Data Science, Analytics, Computer Science, STEM, Economics, Business or Finance |
| Working arrangement | Flexible working arrangements |
| Application status | Original listing marked expired |
| Official vacancy page | View the Wise listing |
Tasks and Programme Benefits
The advertised role involved using data to help Wise make informed product decisions and improve customer experiences across its financial services.
Responsibilities included analysing datasets with SQL and Python, applying statistical methods, monitoring key performance indicators (KPIs), and identifying patterns in customer behaviour.
The role also involved building reliable data pipelines using SQL and dbt, developing dashboards with tools such as Lightdash and Superset, and setting up and analysing experiments to evaluate product changes.
Graduates would present their findings through dashboards, written reports and presentations, helping colleagues understand the evidence behind recommendations.
Salary and Benefits
The advertised annual salary was £52,000. Other benefits included flexible working arrangements, office breakfasts and lunches, coffee, tea and snacks, social activities, and opportunities to work with an international team.
A key development feature was support from a senior analyst, alongside collaboration with experienced professionals across product, engineering and design teams.
Qualifications and Eligibility
The original advertisement specified the following requirements:
- Have graduated in 2026 or be graduating in 2027 with a bachelor’s or master’s degree.
- Have a relevant academic background, potentially in Data Science, Analytics, Computer Science, a STEM discipline, Economics, Business or Finance.
- Be available to start full-time on 6 September 2027. The advertised start date was non-negotiable.
- Have some experience using SQL, Python or R to solve problems.
- Understand fundamental data analysis techniques, including descriptive statistics and trend analysis.
- Be comfortable using numbers and data visualisation to communicate findings.
- Demonstrate curiosity, initiative and a willingness to learn from feedback.
Experience with data visualisation platforms such as Lightdash, Looker or Tableau was desirable. Familiarity with scalable data tools such as Airflow and dbt was also beneficial, although the advertisement indicated that candidates could learn further on the job.
Additional Information
The position was advertised as a full-time graduate role based in London, with flexible working arrangements.
The original advertisement did not specify an application deadline. However, the official Wise listing now marks the vacancy as expired, so applicants should not assume that applications remain open.
How to proceed: Visit the official Wise vacancy page to check its current status, or explore other opportunities through Wise’s careers website.
Frequently Asked Questions
1. What was the Wise Graduate Product Analyst salary?
The advertised annual salary was £52,000.
2. Where was the position based?
The opportunity was based in London, United Kingdom.
3. When was the role scheduled to start?
The advertised start date was 6 September 2027.
4. Which graduates were eligible?
The advertisement targeted graduates from 2026 or 2027 with a bachelor’s or master’s degree in a relevant field, potentially including data science, computer science, STEM, economics, business or finance.
5. What technical skills were required?
Applicants were expected to have some experience with SQL, Python or R and understand basic data analysis methods such as descriptive statistics and trend analysis.
6. Would previous experience with data visualisation tools be required?
Experience with tools such as Lightdash, Looker or Tableau was listed as desirable rather than essential.
7. Is the vacancy still open?
The original official Wise listing currently states that the vacancy has expired. Check the employer’s careers website for any reposted opportunity or similar positions.
8. How can interested graduates find other opportunities?
Visit the official Wise careers website to explore available vacancies and graduate opportunities.
Opportunities Feed Assessment
The advertised Wise Graduate Product Analyst role offered a strong starting point for graduates interested in product analytics, financial technology and data-driven decision-making. Its £52,000 salary, senior-analyst support and exposure to SQL, Python, experimentation and data infrastructure were notable features.
However, because the original vacancy is marked expired, interested candidates should verify whether it has reopened before relying on the advertisement as an active opportunity.
Disclaimer: Opportunities Feed shares career and education opportunities for informational purposes. It is not affiliated with Wise and does not recruit on the company’s behalf. Applicants should confirm vacancy status and all employment details through the official careers website.
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