At a Glance
- Tasks: Drive product strategy and optimise the lifecycle of our international business account.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Be part of an inclusive team that values respect and empowerment.
- Why this job: Make a real impact by building innovative financial solutions for businesses worldwide.
- Qualifications: Expert SQL skills and experience in product analysis or B2B finance.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. 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 life 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. The Wise Business account helps small and medium-sized businesses across the world focus on what matters most to them: growth. An increasing share of our 625,000+ business customers – and the 45,000+ businesses that join them every month – trust Wise with their day-to-day finances.
You’ll have the amazing opportunity to help build the product from the ground up by partnering closely with the Product Manager and Engineering Lead, driving the strategic direction, feature prioritization, and optimization of the entire product lifecycle – from initial concept to global scale.
- Enable Data: Own necessary data logging and ensure pipelines are built for accurate product tracking.
- Drive Insights: Conduct deep-dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel and influence decisions in your team through data.
- Quantify the expected impact of potential features to help the Product Manager focus on the highest-value initiatives.
Expert-level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines. Experience designing and building automated data pipelines and transformations. Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R).
Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences. Prior experience successfully launching a net-new product or product line (greenfield initiative). Prior experience in the B2B space understanding business customers' financial and expense management needs. Familiarity with financial data reconciliation, risk analysis, or regulatory compliance within the FinTech space.
We're people building money without borders — without judgement or prejudice, too. 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 Senior Product Analyst (f/m/d) in 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
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Product Analyst (f/m/d) at Wise.
✨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 Senior Product Analyst (f/m/d) 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 Senior Product Analyst (f/m/d) in 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.
