At a Glance
- Tasks: Drive data-driven decisions to enhance Wise products across Europe & UK.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible work, private medical insurance, and annual self-development budget.
- Other info: Diverse and inclusive team culture with fun group activities.
- Why this job: Make a real impact on international payments while growing as a Product Analyst.
- Qualifications: 6+ years experience in analytics, strong communication skills, and a hustler mentality.
The predicted salary is between 75000 - 115000 £ per year.
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.
We’re looking for a Lead Product Analyst who is passionate about our mission of Money Without Borders to join our Europe & UK Regional Expansion team, to help drive data-driven decisions that would support building and scaling our Wise products across markets in Europe & UK regions.
How you’ll contribute:
- Drive KPI Performance: You’ll partner with Product Managers and other Analysts to develop KPIs for our expansion markets and monitor the impact of new product features on them. Identify and action opportunities to enhance the team's key performance indicators (KPIs). Develop and own strategies to continuously improve team metrics.
- Analytical Leadership in Product Launches: Serve as the primary analytical point of contact for product launches within the team. Conduct analysis including forecasting, discovery analysis, and experimentation to support new product rollouts.
- Data-Driven Decision Making: Influence product decisions with robust and actionable data insights. Build and present compelling data-driven arguments to establish conviction and support within the team.
- Development of Data Assets: Construct and maintain valuable data assets to aid the team in diagnosing issues and understanding product impacts. Ensure data assets are accessible and effectively utilised by the team to enhance product and customer insights.
This role will give you the opportunity to:
- Choose your path to impact – we believe people are most empowered when they can act independently. So rather than telling you what to do, you’ll work with your team to create a vision of your own.
- Grow as a Product Analyst – Grow and inspire your team and others across Wise.
- Get amazing exposure to the full breadth and depth of our product while working with a group of multi-disciplinary teams of amazing, smart and dedicated product analysts, engineers, product managers, researchers, designers and many more.
- The freedom to have real impact – The opportunities you’ll identify are key to Wise reaching future millions of customers and redefining how payments work internationally at scale.
Ideally you'll have:
- At least 6+ years of experience.
- Strong analytical mind and product intuition, centered around the banking and financial industry.
- Technical skill-set in Python, advanced SQL, BI tools.
- Experience working with technical teams (PMs, engineers, analysts).
- Relevant experience in a data driven and complex environment with limited guidance.
- Understanding of events data - Mixpanel / Google Analytics / Amplitude or similar.
- Strong communication and stakeholder management skills, with ability to translate data into compelling narratives.
- Hustler-mentality. You can take work beyond the analysis and get things done.
Good to have:
- Experience in the Fintech domain.
- Knowledge of utilities like Airflow/Github/DBT.
- Experience with user-facing products and data.
Some of our benefits:
- Base salary of £75,000 - £115,000 (based on experience).
- RSUs in a growing and public company.
- Work from (almost) anywhere in the world for up to 90 days a year.
- Flexible working - you’re trusted to do the right thing and be responsible.
- Private Medical Insurance + Life Insurance.
- Discounted gym memberships and cycle to work scheme.
- A paid 6-week sabbatical leave after four years.
- 26 weeks maternity leave at full pay.
- An annual self-development budget.
- Annual Mission Days festival.
- Pet friendly offices.
- Lots of fun group activities like yoga, running and boardgame nights.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Regional Expansion (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Product Analyst - Regional Expansion (London) at Wise, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Product Analyst - Regional Expansion (London)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wise!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.