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- Tasks: Lead data analysis to drive strategic decisions and influence company growth.
- Company: Join Wise, a global FinTech company on a mission for money without borders.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Why this job: Make a real impact in a fast-growing company with diverse teams.
- Qualifications: 4-7 years experience, strong SQL and analytical skills, and a mathematical background.
- Other info: Enjoy a dynamic workplace with excellent career progression opportunities.
The predicted salary is between 60000 - 84000 £ per year.
Company Description
Your Mission: At Wise, we have a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company.
Due to continued and rapid growth we are on the hunt for a Lead Data Analyst to join our Growth and Strategic Finance Team in Shoreditch, London. You will be part of the team that helps pilot the rocket ship.
Job Description
What you will be doing:
- Your principal responsibility will be to make an impact and lead us to better decisions for the company and our customers.
- Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company.
- Depending on the project you are working on, you will be doing the following:
- Helping us understand what is driving our growth at a company level.
- Helping us analyse how we are generating costs and helping our teams come up with strategic plans to drive them down (this is very central to our Mission).
- Helping us develop better pricing strategies so that we can incentivise the right behaviour internally, and also encourage our growth.
Who you are:
- 4-7 years experience in similar roles.
- Mathematical background.
- Strong SQL skills.
- Python/R.
- Strong analytical ability.
- Decent understanding of stats and statistical modelling.
- Data visualisation and storytelling ability.
- Ability to self organise and manage stakeholders.
- Demonstration of impact/going above and beyond basic role requirements.
Desirable:
- DBT.
- Data modelling in a warehouse context.
- Understanding of testing and experimental design.
- Legally authorised to work in the UK.
Some important stuff we would like you to know:
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: £75,000 - £100,000.
- 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 are people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We are 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 is like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Lead Data Analyst employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn. A friendly message can go a long way in getting your foot in the door. Plus, they might share insider tips about the interview process!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us that you’re not just another candidate; you’re someone who truly aligns with our goal of money without borders. Bring examples of how your skills can help us achieve that!
✨Tip Number 3
Practice your data storytelling skills! We want to see how you can turn complex data into compelling narratives. Use real-world examples from your past work to demonstrate your analytical prowess and how it led to impactful decisions.
✨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 us you’re genuinely interested in being part of the Wise team!
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Analyst role. Highlight your SQL skills, analytical abilities, and any experience with statistical modelling. We want to see how your background aligns with our mission at Wise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analysis and how you can contribute to our growth. Don’t forget to mention specific projects or achievements that demonstrate your impact in previous roles.
Showcase Your Skills: Use your application to showcase your technical skills, especially in Python or R. If you've got experience with data visualisation or storytelling, make sure to include that too! We love seeing how you can turn data into insights.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows you’re serious about joining our team at Wise!
How to prepare for a job interview at Wise
✨Know Your Numbers
As a Lead Data Analyst, you'll be expected to have a strong grasp of financial metrics and data analysis. Brush up on key performance indicators relevant to Wise's mission. Be ready to discuss how you've used data to drive decisions in your previous roles.
✨Showcase Your Technical Skills
Make sure you can demonstrate your SQL and Python/R skills during the interview. Prepare examples of past projects where you’ve used these tools for data visualisation or statistical modelling. This will show that you can hit the ground running.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific challenges, like cost analysis or pricing strategies. Think through potential scenarios beforehand and be ready to explain your thought process and the impact of your decisions.
✨Emphasise Stakeholder Management
Since you'll need to manage stakeholders effectively, prepare to discuss how you've successfully collaborated with different teams in the past. Highlight any experiences where your analytical insights led to strategic changes or improvements.
