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For Companies At a Glance
- Tasks: Curate datasets and analyse data to optimise money movement processes.
- Company: Join Wise, a leading FinTech company transforming global money transfers.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Why this job: Make a real impact in finance while working with cutting-edge data technologies.
- Qualifications: Advanced SQL skills and 3-5 years of relevant experience required.
- Other info: Diverse and inclusive team culture with excellent career progression opportunities.
The predicted salary is between 48000 - 60000 £ per year.
Wise is a FinTech company moving billions of GBP of customer money in over 70 countries. We need bulletproof reporting on and insights into our Treasury operations to support timely and accurate reporting, critical controls, and investigations into inefficiencies and improvement areas in our money movement network.
What You’ll Be Doing
- Curating datasets, surfacing metrics, sizing opportunities, and deeper dive analysis to discover inefficiencies and optimise the team’s approach to money movement
- Building and maintaining critical data pipelines
- Hunting down and diagnosing unusual behaviour or anomalies with our trades and payments
- Liaising with FX, Liquidity and Operations teams to understand how to improve processes to achieve lower costs and risks
Who You Are
- Advanced SQL skills
- Experience building data pipelines
- Strong analytical ability
- 3-5 years experience in similar roles
- Data visualisation and storytelling ability
- Ability to self organise and manage stakeholders
- Demonstration of impact/going above and beyond basic role requirements
- Python/R for data manipulation and analysis
- Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)
Desirable
- DBT
- Data modelling in a warehouse context
- Experience working with financial or payments data
Important Information
To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.
What Do We Offer
- Salary: £60,000 - £75,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
Key Benefits
- Hybrid working
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
Additional Information
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.
Senior Data Analyst - Finance & Treasury in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Finance & Treasury in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis projects. This is your chance to demonstrate how you've tackled similar challenges in the past.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on your SQL and analytical skills. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Wise team.
We think you need these skills to ace Senior Data Analyst - Finance & Treasury in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your advanced SQL skills and experience with data pipelines, as these are key for us at Wise. Use specific examples that showcase your analytical abilities and how you've made an impact in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for finance and data analysis, and explain how your skills align with our mission at Wise. Don't forget to mention any experience you have with financial or payments data!
Showcase Your Analytical Skills: In your application, be sure to demonstrate your analytical prowess. Include examples of how you've diagnosed anomalies or improved processes in past roles. We love seeing candidates who can tell a story with data, so highlight any data visualisation work you've done.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, it’s a great way to explore more about Wise and what we stand for before you hit 'submit'!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your SQL skills and be ready to discuss how you've built data pipelines in the past. Prepare examples of how your analytical abilities have led to actionable insights.
✨Showcase Your Problem-Solving Skills
Be prepared to talk about specific instances where you've diagnosed anomalies or inefficiencies in data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Effectively with Stakeholders
Since liaising with various teams is key, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully collaborated with teams like FX or Liquidity to improve processes.
✨Demonstrate Your Passion for Finance
Show that you’re not just a data whiz but also genuinely interested in finance and treasury operations. Research Wise’s mission and values, and be ready to discuss how your personal values align with theirs.
