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- Tasks: Drive data-driven decisions to enhance customer experience and operational efficiency.
- Company: Wise is a global tech company revolutionising money management with low fees and high speed.
- Benefits: Enjoy 25 days holiday, work abroad options, and a paid sabbatical after four years.
- Why this job: Join a mission to fix the financial system and unlock value from vast datasets.
- Qualifications: 3+ years in analytics, advanced SQL, and experience with data visualisation tools required.
- Other info: Be part of a diverse team committed to inclusivity and positive change.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
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.
As part of our team, you will be helping us create an entirely new network for the world\’s money.
For everyone, everywhere.
More about and .
Job Description
We’re looking for an Senior 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 Senior 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, BI specialists, team leads to turn your insights into real change for our customers and help drive our mission!
About the Squad:
The support squad’s mission – To deliver a customer support experience that minimises effort and scales globally. We believe this will help Wise get to mission zero.
You’ll be responsible for:
Owning all data and analytics assets within your domain, serving as the go-to expert for insights that drive informed decision-making.
Developing and implementing KPI trees and target-setting frameworks in reporting pipelines to support product teams in achieving their goals.
Conducting in-depth analysis of operational metrics , providing valuable insights into their impact on customers and business performance.
Monitoring and optimising key strategic initiatives , identifying opportunities to improve efficiency, enhance operations, and drive better outcomes.
Supporting operational leadership with critical insights to assess and strengthen the overall effectiveness of the customer support function.
Collaborating with cross-functional teams to standardise real-time operational processes, drive continuous improvement, and ensure strategic alignment.
This role will give you the opportunity to:
Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.
Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.
Qualifications
A bit about you:
You have 3+ years of experience in analytics
You have advanced SQL skills
You have a background working with operational team analytics including target setting and tracking performance metrics.
You have experience with building data pipelines.
You have experience working with Python/R.
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
Some extra skills that are great (but not essential):
Prior experience in the Customer Experience or Customer Journey domains
Additional Information
What do we offer:
Starting salary: £60,000 – £75,000 (+ RSU\’s)
Numerous great benefits in our London office
Key benefits:
25 days Paid Annual holiday + 3 Me Days
15 Sick Days
– Work abroad for up to 90 days of the year
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 .
Keep up to date with life at Wise by following us on and .
Senior Data Analyst - Customer Experience employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Customer Experience
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding their commitment to 'Money Without Borders' will help you align your answers during interviews and demonstrate your passion for their goals.
✨Tip Number 2
Brush up on your SQL and data visualisation skills. Since the role requires advanced SQL knowledge and experience with tools like Looker or Tableau, being able to showcase your proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've used data to drive decision-making in previous roles. Be ready to discuss specific projects where your insights led to measurable improvements, as this will highlight your ability to impact customer experience positively.
✨Tip Number 4
Network with current or former employees of Wise. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Senior Data Analyst - Customer Experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, particularly with operational teams. Emphasise your SQL skills and any experience with data visualisation tools like Looker or Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Wise's mission of 'Money Without Borders'. Discuss how your background aligns with the role and provide specific examples of how you've used data to drive decision-making in previous positions.
Showcase Your Technical Skills: Clearly outline your technical skills in SQL, Python/R, and data pipeline building. Mention any projects where you successfully implemented these skills to solve problems or improve processes.
Highlight Collaborative Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations. Describe how you’ve worked with others to standardise processes or drive improvements in customer experience.
How to prepare for a job interview at Wise
✨Showcase Your Analytical Skills
As a Senior Data Analyst, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific projects where you've used SQL, Python, or data visualisation tools to derive insights. Highlight how your analysis led to actionable outcomes.
✨Understand the Customer Experience
Since this role focuses on customer experience, make sure you understand Wise's mission and how data impacts customer interactions. Prepare examples of how you've improved customer journeys through data-driven decisions in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to SQL, data pipelines, and analytics frameworks. Brush up on your knowledge and be ready to solve problems on the spot. This will show your technical competence and confidence in handling data.
✨Demonstrate Collaboration Skills
Collaboration is key in this role. Be ready to share experiences where you've worked with cross-functional teams. Discuss how you communicated insights effectively and contributed to team goals, showcasing your ability to drive change through teamwork.
