At a Glance
- Tasks: Drive data-driven decisions to enhance Wise products across LATAM & MEA markets.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Inclusive culture, career growth, and the chance to make a real impact.
- Other info: Collaborate with diverse teams and gain exposure to innovative product development.
- Why this job: Be part of a mission to create Money Without Borders and influence product success.
- Qualifications: Strong analytical skills, experience in data environments, and proficiency in Python and SQL.
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. As part of our team, you will be helping us create an entirely new network for the world's money. We’re looking for a Senior Analyst who is passionate about our mission of Money Without Borders to join our LATAM MEA expansion product team to help drive data-driven decisions that would support building and scaling our Wise products across markets in LATAM & MEA.
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). 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.
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.
Strong analytical mind and product intuition, centered around the banking and financial industry. Technical skill-set in Python, advanced SQL, BI tools. 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. You can take work beyond the analysis and get things done. Experience with user-facing products and data.
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 - 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
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 - Regional Expansion (London) 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 - 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 Senior 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.
