product analyst business onboarding

Wise is a global technology company building services for moving and managing money worldwide. Its products support international transfers, spending abroad, and international payments for individuals and businesses.

• Own the KPI tree and core metrics for business onboarding, ensure alignment, 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 high-leverage projects;
• Lead experimentation and A/B tests for business onboarding, define hypotheses and metrics, and analyze results;
• Drive product roadmap recommendations to reduce friction and improve conversion;
• Build and maintain data products and dashboards for self-service data literacy among PMs, design researchers, and engineers;
• Design LLM-ready data foundations for onboarding analytics, including business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets;
• Partner with the product manager, engineers, and designers throughout the product development lifecycle to build and iterate product changes based on insights.

• 5+ Years of experience in analytical roles;
• Excellent SQL skills 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;
• Understanding of data foundations required for AI systems, including clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and retrievable documentation;
• Ability to work independently in a fast-paced environment and identify and deliver high-impact opportunities;
• Ability to prioritise requests by impact and choose between deep analysis and 80/20 delivery;
• Excellent verbal and written communication skills;
• Ability to create dashboards and visualisations with clear narratives and diagnostic power;
• Ability to structure problems before analyzing data and identify meaningful signals;
• Nice to have: Prior B2B experience, A/B testing or causal inference experience, familiarity with onboarding frameworks and KYC/KYB processes, experience using AI and machine learning to improve analytical results and automate routine work.

• Company Restricted Stock Units;
• Numerous great benefits in the London office;
• 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.