At a Glance
- Tasks: Shape analytical direction and drive impactful solutions across multiple teams.
- Company: Join Wise, a leading fintech company revolutionising the way we handle money.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with high autonomy and excellent career advancement potential.
- Why this job: Make a real difference by influencing data-driven decisions at a global scale.
- Qualifications: Expertise in SQL, strong analytical skills, and experience in cross-functional collaboration.
The predicted salary is between 66150 - 80850 Β£ per year.
At Wise, our Staff Analyst is one of our most senior individual contributor roles in Analytics. A Staff-level Analyst at Wise is a senior IC who defines and owns the analytical direction for a broad problem space or domain β identifying the right problems to solve, shaping priorities and ways of working, setting the measurement approach, building scalable solutions, and influencing senior stakeholders to drive outcomes across multiple teams. You'll work closely with teams and leaders across Wise, including Product, Engineering, Operations and other business functions. Rather than being focused on a single team or squad, your impact will span a broader domain, helping to connect priorities, identify opportunities and improve how we use data to make decisions.
You'll connect the dots across teams, identify where approaches are fragmented, and help create more consistent and scalable ways of working, measuring performance and solving problems. This is a role for someone who can be both a best-in-class technical leader and a strong hands-on deliverer β setting direction and standards while still getting deep into the work when needed.
What you'll do
- Own and shape the analytical direction for a broad problem space or domain, with impact extending across multiple teams.
- Identify the highest-value problems to solve and help set priorities across that space, connecting analytical work to wider business goals.
- Partner with teams across Product, Engineering, Operations and other business functions to influence strategy, priorities, decision-making and ways of working.
- Connect the dots across teams, spotting where similar problems are being solved differently and helping unify approaches where it creates value.
- Partner with senior cross-functional stakeholders to challenge assumptions, create alignment and influence direction.
- Lead large, complex analytical initiatives from problem definition through to measurable business or customer impact.
- Design strong measurement, experimentation and performance frameworks that help teams understand outcomes and make better decisions.
- Build scalable data solutions, frameworks and analytical approaches that can be reused across teams and domains.
- Champion technical excellence across SQL, data modelling and analytical engineering.
- Mentor other Analysts and raise the technical and analytical bar across Wise.
What you'll bring
- Strategic thinking β you can own a broad problem space, identify what matters most and connect analytical work to wider company goals.
- Best-in-class technical capability β expert SQL, strong data modelling skills and a track record of personally delivering complex analytical work.
- Cross-functional partnership β you've worked closely with teams across different functions, helping shape direction and decisions rather than operating as a downstream reporting function.
- Cross-team thinking β you naturally spot connections between teams, identify duplication or inconsistency, and create approaches that scale beyond a single team or function.
- Senior stakeholder influence β you're comfortable working with senior leaders, challenging constructively and shaping how teams make decisions.
- High autonomy β you create clarity where there is ambiguity, proactively identify opportunities and don't need a neatly defined problem handed to you.
- Product, operational and business judgement β you understand the trade-offs behind the numbers and focus on customer and business impact, not just analysis.
- Experimentation and measurement expertise β you can define hypotheses, success metrics and robust ways to measure outcomes, adapting your approach to different types of problems and domains.
- Technical leadership without people management β you lead through expertise, standards, frameworks, mentoring and the quality of your own delivery.
Staff Data Analyst Wise London, GB Data & AI 1d ago check more β employer: Neobankbeat
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to make a significant impact in the fintech industry. With a strong emphasis on employee growth and development, we offer ample opportunities for professional advancement while working alongside talented individuals in a fast-paced environment. Our commitment to innovation and compliance ensures that you will be at the forefront of accounting practices, making your role both meaningful and rewarding.
StudySmarter Expert Adviceπ€«
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