At a Glance
- Tasks: Analyse data and enhance financial reporting for a global tech company.
- Company: Join Wise, a revolutionary tech firm transforming money management.
- Benefits: Generous stock options, flexible work, and a paid sabbatical after 4 years.
- Other info: Diverse and inclusive culture with clear career progression opportunities.
- Why this job: Be part of a team reshaping the future of finance with innovative solutions.
- Qualifications: Experience in data analytics and a passion for financial reporting.
The predicted salary is between 50000 - 60000 £ per year.
This job is with Wise, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. 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.
As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. We are looking for an Analyst to sit at the intersection of Data Analytics and Financial Reporting. You aren’t here to do traditional accounting; you are here to build the data infrastructure and automation that ensures our financial statements are accurate, consistent, and audit-ready as we scale globally.
What will you be working on?
- Metric Ownership: you identify gaps in reporting efficiency and you build the solution.
What’s in it for you?
- A seat at the revolution: You’ll be part of a team changing how the world moves money.
- Ownership: You’ll have the freedom to decide which tools and processes are best to solve the problems at hand.
- Growth: We have a clear Analytics Career Map. There is a clear path for progression and a budget for your self-development.
- Wiser Benefits: Generous stock options (RSUs) in a growing public company. Flexible working model (Office/Home hybrid). Paid 6-week sabbatical after 4 years of service. Annual development budget and 'Me-days.'
Our Values
This isn’t just a job, we’re a revolution. We get it done. Customers > team > ego. No drama. Good karma. Ready to help us build the future of finance? Apply now.
Additional Information
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. 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.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Senior Data Analyst - Finance Reporting employer: Wise
Wise is an exceptional employer that champions inclusivity and diversity, making it a fantastic place for professionals seeking meaningful work in the finance technology sector. With a strong focus on employee growth, generous benefits including stock options and a flexible working model, and a commitment to fostering a supportive work culture, Wise empowers its team members to innovate and excel in their careers while contributing to a revolutionary mission of transforming global money management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Finance Reporting
✨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 Data Analyst - Finance Reporting at Wise.
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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
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We think you need these skills to ace Senior Data Analyst - Finance Reporting
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.
