At a Glance
- Tasks: Drive data-driven decisions to optimise operations and enhance customer experiences.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Enjoy a dynamic workplace with opportunities for growth and a commitment to inclusivity.
- Why this job: Make a real impact on financial operations while working with diverse teams.
- Qualifications: 4+ years in analytics, strong statistical skills, and experience with SQL and data visualisation.
The predicted salary is between 75000 - 115000 £ per year.
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.
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 would support our fast-growing product through scaling and optimising the team.
As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission!
Here’s how you’ll be contributing:
- Analytical Capacity Planning and Forecasting: Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands.
- Data Pipeline Ownership: Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy.
- Predictive Modeling and Cause and Effect Analysis: Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.
- Strategic Support and Analysis: Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences.
- Performance Tracking and Initiative Optimisation: Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes.
- KPI Implementation and Target Setting: Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations.
- Stakeholder Collaboration and Process Standardisation: Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment.
WHAT YOU’LL BRING
- Quantitative Foundation: Ideally, you have a background in statistics, maths, physics, engineering, economics, or another scientific field. You apply first-principles thinking to break down complex operational problems.
- A Statistical Mindset: You have a natural grasp of data logic. You don't just look at averages; you understand distributions, variance, and significance. You enjoy applying that rigor to messy, real-world operational data to separate signal from noise.
- You have 4+ years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset, identifying innovative solutions that drive operational improvements.
- You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation.
- You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/Python/R able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights.
- You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data.
- You have a bias to action - you identify what needs to be done and make it happen.
Some extra skills that are great (but not essential):
- Prior experience in Operation domains.
- You have experience working with a WFM or Quality team.
- You have experience working with WFM Systems.
- You have experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods.
What do we offer:
- Salary: £75,000 - £115,000.
- Company Restricted Stock Units.
- Numerous great benefits in our London office.
- Hybrid working + MobileWiser (Work from anywhere in the world up to 90 days a year).
- 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.
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.
Lead Data Analyst - FinCrime Operations in London employer: Wise
Wise is an exceptional employer that champions a diverse and inclusive work culture, offering employees the chance to contribute to a meaningful mission of creating Money Without Borders. With competitive salaries, generous benefits including hybrid working options, and opportunities for professional growth such as a six-week paid sabbatical after four years, Wise fosters an environment where every team member can thrive and make a real impact on the world’s financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - FinCrime Operations in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your passion for data analytics aligns with our goal of Money Without Borders. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your storytelling skills with data. Be ready to share examples of how you've used analytics to drive decisions in past roles. We want to see how you can turn numbers into actionable insights that make a difference!
✨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 serious about joining the Wise team!
We think you need these skills to ace Lead Data Analyst - FinCrime Operations in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for our mission of Money Without Borders shine through. We want to see how your passion aligns with what we do at Wise!
Tailor Your Experience:Make sure to highlight your relevant experience in analytics and operational support. We love seeing how your background can contribute to our team, so don’t hold back on those details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand and directly related to the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our hiring process smoothly.
How to prepare for a job interview at Wise
✨Know Your Data Inside Out
As a Lead Data Analyst, you'll be expected to have a solid grasp of data logic and statistical principles. Brush up on your knowledge of SQL and Python, and be ready to discuss how you've used these tools to solve complex problems in the past. Prepare examples that showcase your ability to separate signal from noise in messy operational data.
✨Showcase Your Collaborative Spirit
This role involves working closely with various stakeholders, so it's crucial to demonstrate your teamwork skills. Think of specific instances where you've collaborated with operational teams or product managers to drive data-driven decisions. Highlight how your insights led to real change and improved customer experiences.
✨Prepare for Predictive Modelling Questions
Given the focus on predictive modelling and cause-and-effect analysis, be ready to discuss your experience in these areas. Prepare to explain the models you've developed, the outcomes they predicted, and how they influenced strategic planning. Familiarise yourself with forecasting techniques like ARIMA and Holt-Winters, as these may come up during the interview.
✨Demonstrate Your Bias to Action
Wise values candidates who take initiative. Be prepared to share examples of how you've identified problems and taken action to resolve them. Discuss any optimisation opportunities you've capitalised on in previous roles, and how your proactive approach has led to enhanced operational outcomes.
