ABOUT WISE
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 life 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.
Job DescriptionTHE ROLE
We’re looking for a Senior Product Analyst to join the Account Details space, our engine that powers the customers account.
The Account Details team helps customers make use of their bank details for their every day needs across the globe. Focusing on both personal and business customers, the aim of the product is to ensure anyone can receive money in the cheapest, fastest, safest and most convenient way possible. Our main priorities for the upcoming year are to:
Increase our coverage and localise our experience
Optimise on simplicity and discoverability
Build towards becoming a customers main account
As the analyst for the role, you’ll have the amazing opportunity of optimising our current product to fit our customers’ evolving mental model as well as build new features that can help us close the gap! To do so you’ll be partnering closely with the Product Manager and Engineering Lead, driving the strategic direction, feature prioritization, and optimization of the entire product lifecycle – from initial concept to global scale.
WHAT YOU’LL BE DOING
Strategy & Metrics
Own the Numbers: Define, track, and socialize the core KPIs and OKRs for your product.
Enable Data: Own necessary data logging and pipelines are built for accurate product tracking.
Drive Insights: Conduct deep-dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel and influence decisions in your team through data.
Execution
Prioritize the Roadmap: Quantify the expected impact of potential features to help the Product Manager focus on the highest-value initiatives.
Partnership & Communication
Be the Expert: Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders.
WHAT YOU’LL BRING
Expert-level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines.
Experience designing and building automated data pipelines and transformations.
Strong product thinking skills with the ability to translate understanding customer needs into defining the right problem statements, success metrics, and opportunity sizing.
Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R)
Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker/Tableau/Power BI), and actionable product decisions for technical and non-technical audiences.
NICE TO HAVE BUT NOT ESSENTIAL
Familiarity with launching new products or product lines (greenfield initiative).
Familiarity with the payment space - understanding customer personas across the globe and how they interact with their everyday banking needs.
Experience designing, launching, and analyzing A/B tests in a high-volume product environment to drive measurable feature improvements.
Please note we are not able to offer visa sponsorship for this level
Additional InformationFor 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.
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.
Skills Required
- Expert-level SQL skills
- Experience designing and building automated data pipelines
- Strong product thinking skills
- Strong understanding of statistical concepts with programming language
- Ability to use BI tooling to translate data into insights
What the Team is Saying
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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.
