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- 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 51000 - 63000 £ per year.
Overview: hackajob is collaborating with Wise to connect them with exceptional tech professionals for this role. 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. 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 & Treasury employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Finance & Treasury
✨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 even lead to a referral, which is always a bonus.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's operations. Understand their money movement processes and think about how your skills in SQL and data analysis can help them optimise these areas.
✨Tip Number 3
Show off your analytical prowess! Bring examples of past projects where you've built data pipelines or solved complex problems. This will demonstrate your ability to go above and beyond, just like they’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Wise team.
We think you need these skills to ace Senior Data Analyst - Finance & Treasury
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 experience aligns with our mission at Wise. Don't forget to mention any relevant projects or achievements!
Showcase Your Analytical Skills: In your application, be sure to demonstrate your strong analytical ability. Include examples of how you've diagnosed anomalies or improved processes in past roles. We love seeing candidates who can think critically and provide insights that lead to better decision-making.
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 curated datasets or built data pipelines in previous roles. Being able to talk about specific examples will show your expertise.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical abilities by discussing past experiences where you identified inefficiencies or optimised processes. Use concrete metrics or outcomes to illustrate your impact, as this will resonate well with the interviewers.
✨Familiarise Yourself with Financial Concepts
Since this role is in Finance & Treasury, it’s crucial to understand key financial concepts and terminology. Brush up on your knowledge of FX, liquidity, and risk management to engage meaningfully with the team during the interview.
✨Practice Your Storytelling
Data visualisation is not just about numbers; it’s about telling a story. Prepare to explain how you’ve used data to drive decisions in a clear and engaging way. Practising this will help you convey your insights effectively during the interview.
