At a Glance
- Tasks: Analyse data to drive product decisions and optimise business performance.
- Company: Join Wise, a global leader in money management technology.
- Benefits: Inclusive culture, diverse team, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Make an impact by turning data into actionable insights for businesses worldwide.
- Qualifications: Expert SQL skills and experience with data analysis tools required.
The predicted salary is between 45000 - 55000 £ per year.
Wise is a global technology company building a way to move and manage money worldwide. Its Wise Business account helps small and medium-sized businesses manage international payments and day-to-day finances.
Responsibilities:
- Define, track, and communicate core KPIs and OKRs for the product;
- Own data logging requirements and ensure accurate product-tracking pipelines;
- Conduct deep-dive analysis to identify opportunities, risks, and optimisation areas across the product funnel;
- Influence team decisions through data;
- Quantify the expected impact of potential features and support roadmap prioritisation;
- Translate complex analytical findings into actionable recommendations for the Product Team and broader leadership and stakeholders.
Requirements:
- Expert-level SQL skills with experience querying, manipulating, and transforming large, complex, relational datasets into functional pipelines;
- Experience designing and building automated data pipelines and transformations;
- Strong product thinking and the ability to translate customer needs into problem statements, success metrics, and opportunity sizing;
- Strong understanding of statistical concepts that can be applied through a programming language such as Python or R;
- Ability to turn raw data into clear narratives, business insights, and actionable product decisions using BI tools such as Looker, Tableau, or Power BI for technical and non-technical audiences;
- Nice to have: Prior experience launching a net-new product or product line, B2B experience with business customers' financial and expense management needs, familiarity with financial data reconciliation, risk analysis, or regulatory compliance in FinTech, experience designing, launching, and analysing A/B tests in a high-volume product environment.
Conditions:
- Visa sponsorship is not available for this level;
- Wise offers an inclusive, diverse, equitable, and international team environment.
product analyst for Wise Business in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land product analyst for Wise Business 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 Enfint!
✨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 product analyst for Wise Business at Enfint.
✨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 Enfint.
✨Apply Directly through Our Website
When you find a suitable opening like product analyst for Wise Business at Enfint, 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 product analyst for Wise Business 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 Enfint, 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 Enfint. 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 Enfint
✨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 Enfint!
✨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.
