At a Glance
- Tasks: Lead complex analytical projects and drive strategic initiatives for Wise's Operations Analytics team.
- Company: Join Wise, a global tech company revolutionising how money moves worldwide.
- Benefits: Competitive salary, RSUs, flexible work, private medical insurance, and generous leave policies.
- Other info: Enjoy a dynamic work culture with opportunities for personal and professional growth.
- Why this job: Make a real impact with your analytical skills while mentoring a talented team.
- Qualifications: Proven experience in analytics, SQL expertise, and strong leadership abilities.
The predicted salary is between 105000 - 150000 € per year.
Wise is a global technology company, building the best way to move and manage the world’s money. 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. Join us as we help create an entirely new network for the world’s money.
At Wise, the Staff Analyst is a pivotal technical leadership position, acting as a force multiplier for our Operations Analytics team. This isn’t about running queries or building dashboards; it’s about owning complex, ambiguous challenges from end to end, from identifying critical business opportunities to architecting the scalable data solutions that will power our future. You will be one of Wise’s most senior individual contributors, working with a high degree of autonomy.
We’re looking for a true analytics technical leader who thrives on autonomy and is driven to make a tangible impact. You will be a trusted partner to senior leadership, using your deep technical expertise and strategic insights to influence decisions and drive outcomes. You will not only lead our most critical analytical projects but also mentor a talented team of analysts, setting the standard for technical excellence and fostering a culture of continuous growth.
What You’ll Do
- Drive Strategic Impact: Lead analytical roadmaps and strategic initiatives that align with Wise’s long‑term goals, identify high‑impact opportunities, cut through ambiguity on critical projects, and drive outcomes in leadership forums.
- Own Complex Problem‑Solving: Take ownership of large, complex analytical projects from conception to delivery. Define project structures, align senior stakeholders, and navigate technical ambiguity to execute at pace.
- Influence and Lead: Act as a trusted partner to senior leadership. Prepare and deliver high‑level presentations, tailor communication to influence diverse audiences, and resolve conflicts decisively by leveraging data to build consensus.
- Champion Technical Excellence: Pioneer efficient, high‑performing SQL development and lead the design of scalable data infrastructure and workflows using tools like dbt. Establish and enforce best practices in coding, data analysis, and system design across the team.
- Mentor and Develop Talent: Grow the analytics function by mentoring other analysts, identifying and closing gaps in technical and domain knowledge, and promoting a culture of continual learning and development.
What You’ll Bring
- Strategic Mindset: Proven ability to think strategically, connect analytical work to broader company objectives, and drive projects that deliver significant impact across multiple teams.
- Flawless Execution: Track record of leading large‑scale, complex projects with a high degree of autonomy. Create multi‑quarter roadmaps and execute on time‑sensitive, critical initiatives.
- Advanced Technical Skills: Full independence in technical abilities, expertise in SQL, data pipeline tools (e.g., dbt), and data analysis, with the ability to design scalable, future‑proofed solutions.
- Leadership and Influence: Experience mentoring and developing analysts, strong communication skills, and ability to build partnerships with senior stakeholders, drive consensus, and foster constructive feedback.
- Proactive Ownership: Deep sense of ownership and proactivity, identifying opportunities, championing new tools and frameworks, and setting the example for the analytics community at Wise.
Some Of Our Benefits
- Base salary of £105,000 – £150,000
- RSUs in a growing and public company
- Work from anywhere in the world for up to 90 days a year
- Flexible working; you are trusted to do the right thing and be responsible
- Private medical and life insurance
- Discounted gym memberships and cycle‑to‑work scheme
- Paid 6‑week sabbatical leave after four years
- 26 weeks maternity leave at full pay
- Annual self‑development budget
- Annual Mission Days festival
- Pet‑friendly offices
- Group activities such as yoga, running, and board‑game nights
Staff Data Analyst, Operations in London employer: hackajob
Wise is an exceptional employer that champions autonomy and innovation, making it an ideal place for a Staff Data Analyst in Operations. With a strong focus on employee growth, Wise offers a range of benefits including flexible working arrangements, generous sabbatical leave, and a supportive work culture that encourages continuous learning and collaboration. The opportunity to lead impactful projects while mentoring a talented team in a pet-friendly environment makes Wise a truly rewarding workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Analyst, Operations 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 skills align with our goals and be ready to discuss how you can drive strategic impact in the role.
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on the challenges you faced and how you overcame them. We love hearing about complex problem-solving in action.
✨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 genuinely interested in joining the Wise team.
We think you need these skills to ace Staff Data Analyst, Operations in London
Some tips for your application 🫡
Show Your Strategic Mindset:When writing your application, make sure to highlight your ability to think strategically. Connect your past experiences to how they align with Wise’s long-term goals. We want to see how you can drive significant impact across teams!
Own Your Projects:Don’t shy away from showcasing your ownership of complex projects. Detail how you’ve taken initiatives from conception to delivery, and how you navigated any ambiguity along the way. This is your chance to shine!
Demonstrate Technical Excellence:Be sure to flaunt your advanced technical skills, especially in SQL and data pipeline tools like dbt. We’re looking for someone who can design scalable solutions, so share examples of your best work in this area.
Tailor Your Communication:Since you'll be influencing senior leadership, it’s crucial to demonstrate your communication skills in your application. Tailor your language to show how you can effectively present data-driven insights and build consensus among diverse audiences.
How to prepare for a job interview at hackajob
✨Understand the Company Mission
Before your interview, take some time to really grasp Wise's mission and values. Knowing how they aim to make money management easier for people will help you align your answers with their goals and show that you're genuinely interested in contributing to their vision.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex analytical projects you've led in the past. Be ready to discuss how you navigated ambiguity and drove outcomes. This role is all about owning challenges, so demonstrating your ability to tackle tough problems will set you apart.
✨Communicate Like a Leader
Practice presenting your ideas clearly and confidently. Since you'll be influencing senior leadership, tailor your communication style to resonate with diverse audiences. Use data to back up your points and be prepared to resolve conflicts with constructive feedback.
✨Emphasise Mentorship Experience
Highlight any experience you have in mentoring or developing others. Wise values a culture of continuous growth, so sharing how you've helped others improve their skills will show that you can contribute to building a strong analytics community.
