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 DescriptionTHE ROLE
Your mission will be to understand what customers who send large volumes of money need from our product. You will be particularly zooming into those with complex transfer requirements, and help your team focus on solving their most critical challenges.
The focus of this team is to improve the overall convenience and address the unique pain-points of customers with specific transfer needs. These segments of customers often rely on us more frequently, hence requiring a tailored approach for smooth transfer experience. Your role will be to assist the team in developing products and services that cater to these specific requirements, while maintaining our commitment to all customers.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.
WHAT YOU’LL BE DOING
Optimize the User Journey: Analyze the end-to-end user transfer funnel to identify friction points, drop-off stages, and conversion bottlenecks, translating rigorous data insights into actionable product improvements.
Drive Growth for High-Value Segments: Extract deep insights to enhance the acquisition, onboarding, and retention of customers executing large and complex transfers.
Own Performance Metrics: Define clear KPIs to measure the long-term impact of product changes, establishing continuous feedback loops to help the team iterate and optimize.
Collaborate Cross-Functionally: Partner closely with Product Managers, Engineers, Operations/Servicing teams, and fellow Analysts across the organization to execute high-impact initiatives.
Advocate for the Customer: Build a strong conviction for high-impact opportunities; challenge the status quo to find faster, more effective ways to elevate the service level and scale this customer cohort.
Foster a Collaborative Culture: Inspire an inclusive, open team environment that champions knowledge sharing, diverse perspectives, and continuous learning.
Champion the Mission: Contribute strategically to broader product goals, directly aligning your team's output with our ultimate mission: Money without borders.
WHAT YOU’LL BRING
Advanced SQL Proficiency: Deep comfort handling complex datasets, writing optimized queries, and implementing rigorous data validation to ensure output accuracy.
Product Analytics Expertise: A strong understanding of front-end event tracking and user behavior data using tools like Mixpanel, Amplitude, Google Analytics, or similar.
Data Engineering Exposure: Comfort building and maintaining data pipelines; direct experience with dbt is a strong plus.
Data Storytelling & Visualization: Proficiency with BI tools (e.g., Looker, Tableau, Superset) paired with the ability to translate complex data into clean, precise, and persuasive narratives that influence strategic team decisions.
Stakeholder Management & Influence: Proven ability to collaborate with and influence cross-functional partners across Product, Engineering, Operations, and Servicing. You know how to balance competing priorities and when to push back to maximize impact.
Pragmatic Problem Solving: A track record of breaking down complex problems into clear, structured components, applying the 80/20 rule to deliver high-value results swiftly.
Ownership & Adaptability: A self-starter mindset with the ability to thrive independently in a fast-paced environment. You proactively drive impactful discussions and are eager to roll up your sleeves as team needs evolve.
Please note that as a product analyst, you will be solving problems for our customers. Hence, no prior fintech knowledge or work experience in fintech is required for this role. Just enough curiosity to learn and strong customer empathy!
NICE TO HAVE BUT NOT ESSENTIAL
It’s a plus, if you have knowledge of a scripting language (like Python or R) to automate routine tasks.
Prior knowledge of utilities like Airflow/Github/DBT
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.
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
- Advanced SQL proficiency for complex datasets and optimized queries
- Product analytics expertise, including front-end event tracking and user behavior analysis (e.g., Mixpanel, Amplitude, Google Analytics)
- Comfort building and maintaining data pipelines
- Direct experience with dbt
- Data storytelling and visualization using BI tools (Looker, Tableau, Superset)
- Stakeholder management and ability to influence cross-functional partners
- Pragmatic problem solving (structured thinking, 80/20 approach)
- Ownership mindset and adaptability in a fast-paced environment
- Knowledge of a scripting language (Python or R)
- Prior knowledge of Airflow and GitHub
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Equity Value & Accessibility — Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
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Leave & Time Off Breadth — Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
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Parental & Family Support — Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.
Wise Insights
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.
