At a Glance
- Tasks: Drive data-driven decisions and optimise operations for a global money movement company.
- Company: Join Wise, a leading tech company revolutionising international money transfers.
- Benefits: Competitive salary, stock options, flexible working, and generous leave policies.
- Why this job: Make a real impact on how the world manages money while growing your career.
- Qualifications: 4+ years in analytics, advanced SQL, and experience with data visualisation tools.
- Other info: Diverse and inclusive team culture with excellent career progression opportunities.
The predicted salary is between 60000 - 84000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional tech professionals for this role. Wise is a global technology company, building the best way to move and manage the world's money. Wise is focused on making international money movement simpler and cheaper, helping people and businesses save time and money. As part of our team, you will help create an entirely new network for the world's money. For everyone, everywhere.
Overview
We're looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that support our fast-growing product through scaling and optimising the team. You'll be driving our analytics efforts in our operations teams, who do everything from supporting customers to screening for criminal activity and verifying customer identities at scale. You'll collaborate closely with operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission. This is an IC3 role.
Responsibilities
- Supporting the Operations leadership by providing critical information to assess the health of Operations
- Size, track performance and identify optimisation opportunities for key strategic initiatives
- Lead on implementing Operations KPI tree and operation teams target setting framework in pipelines and reporting
- Provide in-depth analysis on operation metrics while measuring the corresponding impact on our customers
Qualifications
- You have 4+ years of experience in analytics
- You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis and experimentation
- You have advanced SQL skills
- You have experience with building data pipelines, using dbt
- You have experience working with Python/R
- You have experience with data visualisation tools (Looker, PowerBI, Tableau) and demonstrate storytelling ability with data
- You're a self-starter who is comfortable working in highly empowered teams
Benefits
- Base salary: £75-100k gross / year base (based on experience & interview outcomes)
- Restricted Stock Units (RSUs)
- Numerous amount of best in class benefits
- Flexible working - whether it's working from home, school plays or life admin we get that flexibility is essential and you're trusted to do the right thing and be responsible
- 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
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.
Lead Data Analyst in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst 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 maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your passion for data aligns with making money movement simpler and cheaper. We love candidates who get our vibe!
✨Tip Number 3
Practice your storytelling skills with data. Be ready to share examples of how your analysis has driven real change in previous roles. We want to see how you can turn numbers into narratives that impact 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 you’re serious about joining our team at Wise.
We think you need these skills to ace Lead Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with operational analytics, SQL skills, and any relevant projects that showcase your ability to drive data-driven decisions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for Wise's mission of Money Without Borders and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with data visualisation tools and programming languages like Python or R. We want to see how you can bring insights into real change, so be specific about your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
As a Lead Data Analyst, you'll need to demonstrate your expertise in analytics. Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in previous roles. Prepare specific examples of projects where your analysis led to significant outcomes.
✨Understand the Business Context
Wise is all about making money movement simpler and cheaper. Familiarise yourself with their mission and how your role fits into it. Think about how your analytical insights can directly impact customer experience and operational efficiency, and be prepared to share your thoughts during the interview.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams. Be ready to talk about your experience collaborating with product managers, designers, and engineers. Highlight instances where your insights have led to real change and how you’ve effectively communicated complex data to non-technical stakeholders.
✨Prepare for Technical Questions
Expect to face technical questions related to data pipelines, Python/R, and visualisation tools like Looker or Tableau. Brush up on these technologies and be prepared to solve problems on the spot. Practising common data analysis scenarios can help you feel more confident.