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 our mission and what we offer.
Job DescriptionWe’re looking for an experienced Senior Analytics Manager to lead our Regional Platform Squad.
Regional Platform builds the platforms and frameworks that empower Wise engineers to seamlessly integrate Wise with payment systems across the globe. You’ll play a key role in expanding our reach and improving the experience for millions of customers worldwide!
You’ll report to the Analytics Director for the Regional Expansion tribe, and partner with the Product and Engineering leads in the Regional Platform Squad. Together, you will form a cross-functional group of key decision makers who own the challenge of making the process of Regional Expansion as seamless as a config change.
This role involves a 60/40 split between leading a team (3) of talented analysts embedded within multiple product teams and providing hands-on analytical support; setting the right KPIs, providing data driven insights to inform product decisions and surfacing opportunities to further improve our products.
If you’ve previously led or helped to build analytics teams in fast-paced, scaling, global companies - we’d love to hear from you.
This is an AL2 role. For more information on our Analytics Career Map and levelling structure, click here.
WHAT YOU’LL DO
Partner with cross-functional (Product, Engineering etc.) leads to define the strategy for the Regional Platform squad. Identify opportunities for impact and bring them to life; review team plans and progress, giving them effective feedback.
Establish clear goals, define measurable KPIs, and develop compelling narratives to communicate progress and proactively identify areas requiring action, both within and beyond the Regional Platform squad. This includes synthesizing data from various teams to provide a comprehensive view.
Lead and develop a team of analysts. Support analyst professional development via performance feedback & coaching; hire and plan capacity; ensure analyst time is spent to maximise impact; increase scalability via automation.
Take ownership of complex cross-team projects to help unblock critical product decisions, this could range from:
Helping the team build granular data infrastructure sound payment processing to identify opportunities to deliver a more instant service to customers
Establishing Squad KPI's to focus the teams investment on the most impactful projects to drive expansion speed
Analysing SWIFT network data to optimise our offering in terms of price, speed and coverage
WHAT YOU’LL BRING
Technical Skills: 7+ years experience in analytical roles with strong data analysis skills (SQL & Python), data modelling (e.g. airflow, dbt) and experience with BI tools (e.g. Looker, Tableau, PowerBI).
Team Management: You have experience building, developing and leading analysts (ideally a team of 5+). Performing detailed performance reviews, providing constructive feedback to identify and nurture strengths and address development areas.
Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful opportunities and making them happen, triage requests by impact and you know when and how to adapt analysis scope to achieve 80/20 results.
Communication: Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You’re an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power.
Influence: Strong stakeholder management skills - you are collaborative, you know how to influence and when to say yes or no to maximise impact. You have a bias to action - you identify what needs to be done and make it happen.
NICE TO HAVE BUT NOT ESSENTIAL
- You've practically used + applied AI / machine learning techniques and built predictive models to get deeper insight
- Salary Range: £100,000 - £125,000 (depending on experience and interview performance)
- Restricted Stock Units (RSUs)
- Read more about our full benefits offering here
#LI-CH1
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.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Top Skills
What the Team is Saying
What We Do
Wise is a global technology company, building the best way to move and manage the world's money.
With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies.
In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
