At a Glance
- Tasks: Lead data analysis to enhance customer account experiences and drive impactful product decisions.
- Company: Join Wise, a forward-thinking company revolutionising financial services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in analytics.
- Why this job: Make a real difference by solving global customer challenges with data-driven insights.
- Qualifications: Experience in data analysis and strong collaboration skills with cross-functional teams.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Lead Product Analyst (Individual Contributor) to join the Account Management team and Account squad. The Account Management team builds and optimises Wise’s core account experience, making it simple for customers to open an account, hold money, move and convert funds, use savings and spending accounts, manage subscriptions, and connect external accounts. All in one seamless interface.
As a Lead Product Analyst, your mission is to deeply identify and understand the needs of customers engaging with our products and steer your cross‑functional team to solve the most critical problems at a global scale. This is an IC3 role.
WHAT YOU’LL BE DOING
- Collaborate with Product Managers, Engineers, Designers, Compliance, Bankers and other cross‑functional partners to improve the Wise product.
- Help your team make data‑driven decisions and prioritise the most impactful opportunities to enable Wise to reach Mission Zero.
- Tie initiatives to the team’s KPIs to help guide the product strategy.
- Be the primary point of contact for all data related questions within our balance data structure and have full ownership of the domain.
Lead Analyst - Account in London employer: Wise
Wise is an exceptional employer that fosters a collaborative and innovative work culture, where Lead Analysts can thrive by making impactful contributions to our core account experience. With a strong focus on employee growth, we offer ample opportunities for professional development and the chance to work alongside talented cross-functional teams in a dynamic environment. Located in a vibrant city, our office provides a stimulating atmosphere that encourages creativity and teamwork, making Wise a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analyst - Account 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 Lead Analyst - Account 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 Lead Analyst - Account 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 Analyst - Account 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.
