Product analyst for business onboarding

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.

• Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your team understand their progress and communicate recommendations to senior stakeholders.
• Use data exploration and funnel analysis to identify high-impact opportunities in the onboarding flow. Partner with the team to prioritise projects with the highest leverage.
• Lead experimentation and A/B tests for business onboarding, defining hypotheses and metrics. Analyze results to drive product roadmap recommendations to reduce friction and boost conversion.
• Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers.
• Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context.
• Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights

• 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets.
• Strong experience with at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing.
• Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.
• You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation that can be retrieved and reasoned over.
• You enjoy working independently in a fast-paced environment. You identify high-impact opportunities and make them happen. You triage requests by impact and know when to go deep versus deliver 80/20 results.
• Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You craft dashboards and visualisations that tell a story and have diagnostic power.
• You have experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition. You structure problems before diving into data and know how to find the signal in the noise.
• Будет плюсом: Prior experience in the B2B space - understanding business customers’ financial and operational needs; A/B testing or causal inference experience; Familiar with onboarding frameworks and KYC/KYB processes; Demonstrated capability to utilize AI and machine learning for enhancing analytical results and automating routine work

• Salary: £75,000 - £115,000
• Company Restricted Stock Units
• Numerous great benefits in our London office
• Hybrid working
• Paid annual holiday, sick days, parental leave and other leave opportunities
• 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave