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WISE

Lead Product Analyst - Europe & UK

Posted 2 Days Ago
Be an Early Applicant
Hybrid
London, England
Mid level
Hybrid
London, England
Mid level
The Lead Product Analyst will collaborate with cross-functional teams to enhance Wise's product offerings, drive data-informed decisions, set KPIs, and manage data inquiries.
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Company Description

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 Description

We're hiring a Lead Product Analyst (Individual Contributor) to join our Money Movement teams in the Europe & UK squad. 

The goal is to become the preferred choice of payments in Europe for people and businesses with international lives by providing them with the fastest, cheapest, most convenient ways for money movement in Europe and the UK.

You will solve various challenges related to our Payment Rails and Partners such as identifying priority countries for building Direct Access in Europe and the UK under new regulations, and constructing frameworks to pinpoint significant money movement friction points. 

Finally, we're constantly seeking ways to improve speed by identifying and addressing main bottlenecks in our processes.

This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

  • Collaborate with Product Managers, Product Compliance officers, Bankers and other cross-functional partners to improve the Wise product

  • Enabling your team to make data-driven decisions and prioritise the most impactful opportunities for our customers

  • You set KPIs and ensure they are actively used for prioritising the team's work; (this includes planning, opportunity sizing, retroes).

  • Be the primary point of contact for all data related questions and have full ownership of the domain.

Qualifications

WHAT YOU’LL BRING

  • Technical Skills: 5+ years experience in analytical roles with strong data analysis skills. You’re proficient in SQL (with the ability to write clear, performant, and reliable queries) and have knowledge of a scripting language (like Python or R) to automate routine tasks.

  • Problem Solving: You know how to solve ambiguous problems when there is no clear answer and proactively identifies ways to solve bottlenecks and remove blockers. You are laser-focused on the final goal, utilising the 80/20 approach to achieve results efficiently. 

  • Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful opportunities and making them happen, triage requests by impact and focus on the main priorities.

  • Influence: You have 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

  • Knowledge of the FinTech ecosystem

Additional Information

  • Salary Range: £75,000 - £100,000 (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

Python
R
SQL

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