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- Tasks: Support operational efficiency and scalability through data analysis and insights.
- Company: Wise is on a mission to make financial transactions fast, convenient, and free for everyone.
- Benefits: Enjoy a competitive salary, flexible working, and a paid sabbatical after four years.
- Why this job: Make a big impact from day one in a diverse, inclusive, and innovative environment.
- Qualifications: Strong analytical skills, experience with SQL, and ability to communicate effectively.
- Other info: Qualifications aren't crucial; great experience and communication skills matter more.
The predicted salary is between 60000 - 75000 £ per year.
Join to apply for the Senior Data Analyst (Operations) - Enterprise Product role at Wise.
ABOUT WISE
At Wise, our mission is to achieve "Money Without Borders" — making financial transactions fast, convenient, transparent, and eventually free. Millions of people around the world use Wise to send, spend, hold, and receive money across multiple currencies.
Job Description
THE ROLE
We’re looking for a dynamic Senior Analyst that can support our leads across CSM, KYC, Fincrime and Payment Operations to drive operational efficiency and scalability of Wise Platform. This is a newly created role that will allow you to have a big impact from day one! You will be working closely with Servicing & Operations leads to help shape the priorities of their teams, building conviction through your insights and analysis.
About Wise Platform
Wise Platform helps banks and software companies leverage Wise’s infrastructure to offer their customers world-class payments products through their own channels. Our partners make up some of the world’s biggest banks and platforms, such as Monzo, Morgan Stanley, Nubank and Google. It’s one of the newest and growing areas of Wise! We’re a highly cross-functional team. You will work closely with colleagues from commercial, delivery, product, engineering, operations, finance and more.
What You’ll Be Doing
- You will support our operational forecasting and capacity planning. By developing an intricate understanding of partners and the factors which drive operational workload, your work will ensure we’re adequately resourced and provide a best-in-class experience.
- You will collaborate with operational teams to understand their processes, build operational health scores and define metrics and KPIs to measure success and drive decision-making.
- Your analysis will reduce friction throughout our customers’ lifecycle.
- You will work with product and ops teams to ensure we can onboard customers seamlessly and reduce touch points throughout the transfer lifecycle.
What You’ll Bring
- You have a strong track record of partnering with operational teams and delivering actionable insights and recommendations that drive operational efficiency.
- You are an excellent communicator, able to form your own opinions and effectively articulate them to win colleagues round to your way of thinking.
- You are solution-oriented and able to own projects from start to finish.
- You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen!
- You are commercially minded. You are comfortable with opportunity sizing, have solid experience forecasting and scenario modelling.
- You’re an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power - even better if you’ve got experience doing this in Looker/Superset.
- You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow and Python (all analysts at Wise are expected to be full-stack and should be comfortable owning analytics from ingestion to insights).
Nice To Have But Not Essential
- Experience working with payments or transaction data.
- Experience working with sales data in Salesforce or similar, and/or contacts data in tools like Zendesk or Twilio.
- Experience using other coding languages such as javascript (think Google Apps Script automations) - but by no means needed.
PROCESS
- Screening call with recruiter - 30 mins
- Take home Case Study - 7 days to submit
- Technical Interview - 1.5 hours
- Stakeholder Interview - 1 hour
- Final Interview - 1 hour
Preparation material and further context will be provided at each stage.
Benefits
- Base salary of £60k - £75k (based on experience)
- RSUs in a growing and publicly listed company
- Work from (almost) anywhere in the world for up to 90 days a year
- Flexible working - you’re trusted to do the right thing and be responsible
- Private Medical Insurance + Life Insurance
- Discounted gym memberships and cycle to work scheme
- A paid 6-week sabbatical leave after four years
- 26 weeks maternity leave at full pay
- An annual self-development budget
- Annual Mission Days festival
- Pet friendly offices
We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.
If you want to find out more about what it’s like to work at Wise visit Wise.Jobs
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.
Senior Data Analyst (Operations) - Enterprise Product employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Operations) - Enterprise Product
✨Tip Number 1
Familiarise yourself with Wise's mission and values. Understanding 'Money Without Borders' will help you align your insights and recommendations with the company's goals, making you a more attractive candidate.
✨Tip Number 2
Brush up on your SQL skills and get comfortable with data pipeline management tools like Snowflake and dbt. Being able to demonstrate your technical proficiency during interviews will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience in operational efficiency. Think of specific examples where your analysis led to measurable improvements, as this will resonate well with the hiring team at Wise.
✨Tip Number 4
Network with current or former employees of Wise on platforms like LinkedIn. Gaining insights into their experiences can provide you with valuable information that you can use to tailor your approach during the interview process.
We think you need these skills to ace Senior Data Analyst (Operations) - Enterprise Product
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Data Analyst position at Wise. Understand the key responsibilities and required skills, such as operational efficiency, data analysis, and communication abilities.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your track record in partnering with operational teams and delivering actionable insights, as well as your proficiency in SQL and data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Wise's mission of 'Money Without Borders'. Use specific examples from your past experiences to demonstrate how you can contribute to operational efficiency and scalability within the company.
Prepare for Interviews: Once your application is submitted, prepare for the interview process by reviewing common data analyst interview questions. Be ready to discuss your analytical approach, problem-solving skills, and how you can motivate stakeholders across teams.
How to prepare for a job interview at Wise
✨Understand Wise's Mission
Before your interview, make sure you grasp Wise's mission of 'Money Without Borders'. This understanding will help you align your answers with the company's values and demonstrate your enthusiasm for their goals.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive operational efficiency in previous roles. Be ready to explain your thought process and the impact of your insights on decision-making.
✨Familiarise Yourself with Tools
Since the role requires proficiency in SQL and familiarity with data pipeline management tools like Snowflake and dbt, brush up on these technologies. Be prepared to discuss your experience with them and how you've used them in past projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work cross-functionally. Think about how you would approach operational challenges and be ready to articulate your strategies clearly.
