AgileGrid Solutions
Senior Data Analyst

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About The Company
Wise is a global technology company dedicated to revolutionizing the way money moves and manages across borders. Our mission is to create a world where financial transactions are seamless, transparent, and accessible to everyone, everywhere. We are committed to reducing costs, increasing efficiency, and providing innovative solutions for individuals and businesses engaged in international financial activities. With a focus on building an entirely new network for the world's money, Wise aims to empower people to live and work globally without the barriers traditionally associated with cross-border payments. Our team is composed of talented professionals who are passionate about transforming the financial landscape and delivering exceptional value to our customers worldwide.
About The Role
We are seeking a highly skilled Senior Data Analyst to join our Growth and Strategic Finance Team based in London. In this pivotal role, you will be instrumental in providing actionable insights through data analysis, which will directly influence strategic decision-making and drive our continued growth. As part of our dynamic team, you will work on curating datasets, developing metrics, and performing statistical modeling to understand key drivers of business performance. Your expertise will help us measure the impact of marketing and product initiatives, analyze customer segments, and identify growth opportunities at both regional and global levels. This role offers a unique opportunity to contribute to a fast-paced, innovative environment where data-driven insights are at the core of our success.
Qualifications
The ideal candidate will possess a minimum of three years of experience in a similar analytical role, with a strong foundation in mathematics or quantitative analysis. Proficiency in SQL is essential, along with familiarity with Python or R for data manipulation and analysis. A solid understanding of statistical methods and modeling techniques is required, complemented by excellent data visualization and storytelling skills to communicate insights effectively. Candidates should demonstrate the ability to self-organize, manage stakeholders, and deliver impactful results beyond basic role expectations. A background in data warehousing, data modeling, and experience with testing and experimental design are desirable. Legally, applicants must be authorized to work in the UK, as Wise does not provide visa sponsorship for this role.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Generate insights that inform strategic decisions and enhance business performance.
- Curate datasets, develop key metrics, and perform statistical modeling to support business analysis.
- Analyze growth trends at both company and regional levels to identify opportunities and challenges.
- Understand customer segments and cohorts, assessing their contribution to overall growth.
- Link customer acquisition and activity metrics to marketing and product initiatives to evaluate financial returns.
- Collaborate with cross-functional teams to ensure data accuracy and integrity.
- Create compelling data visualizations and reports to communicate findings to stakeholders clearly and effectively.
- Stay updated with industry best practices and continuously improve analytical processes and tools.
Benefits


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At Wise, we offer a competitive package designed to support our employees' well-being and professional growth. The base salary for this role ranges from £60,000 to £85,000, complemented by RSUs in our growing, publicly traded company. We promote flexible working arrangements, allowing you to work remotely from almost anywhere in the world for up to 90 days a year. Our benefits also include private medical insurance, life insurance, discounted gym memberships, and a cycle-to-work scheme. Employees are entitled to a paid six-week sabbatical leave after four years of service. We provide a generous 26 weeks of full-pay maternity leave, an annual self-development budget, and opportunities to participate in our annual Mission Days festival. Our pet-friendly offices and various group activities, such as yoga, running clubs, and board game nights, foster a vibrant and inclusive workplace environment. Additional details about our benefits are available at our London office.
Equal Opportunity
Wise is committed to fostering an inclusive and diverse workplace where everyone feels valued and respected. We believe that diverse teams drive innovation and better serve our global customer base. We are proud to have an international team and celebrate our differences, ensuring all employees have equal opportunities for growth and development. We do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. Our commitment to inclusion extends to creating a welcoming environment where all team members can contribute their unique perspectives and talents to our shared mission.
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