About the company
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Responsibilities
- Find opportunities: Combine customer, product and market data to uncover friction in the sending experience and new cross-border use cases we could support.
- Shape what we build: Work with Product Managers, Engineers and other Analysts to size opportunities, test assumptions and help the team choose what to prioritize.
- Measure what matters: Define success measures for your area, monitor how they change, and make sure the team can trust the data behind them.
- Learn through experimentation: Design and analyze experiments and other evaluations to understand whether product changes make a meaningful difference for customers.
- Influence decisions: Turn analysis into clear recommendations, explain the trade-offs and help the team act on what it learns.
Requirements
- Strong SQL skills and experience working with large, complex datasets.
- Experience using data to shape product decisions, from defining a problem and sizing an opportunity to measuring the results.
- A sound understanding of experimentation and statistics, and experience applying them in a product context. Python or R experience is useful.
- The ability to explain complex findings clearly and tailor your recommendations to different audiences.
- Curiosity about customer behavior and the judgment to distinguish a useful insight from an interesting number.
Nice to have
- Experience helping launch a new product, feature or product line.
- Experience with analytics tools such as Looker, Tableau or Power BI.
- Experience improving data instrumentation or building reliable transformations and pipelines.
Conditions
- Please note we are not able to offer visa sponsorship for this level.