Lead Product Analyst - Business Onboarding

We’re looking for a Lead Product Analyst to join the Business Account squad and the Business Onboarding team. Your mission will be to deeply understand the needs of business customers as they register with Wise for the first time, regain access to their account, and complete the checks needed to use Wise safely. You’ll help the team find the right balance between conversion, customer experience, operational efficiency and risk controls: reducing unnecessary friction for legitimate businesses while helping deflect bad actors. This role offers a significant opportunity to collaborate across teams, including Business Pricing, Account Experience and Verification, to ensure a seamless and integrated experience for business customers.

You will own the KPI tree and core metrics for business onboarding, ensuring alignment; help the team understand its progress; and communicate recommendations to senior stakeholders. You will 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, and lead experimentation and A/B tests by defining hypotheses and metrics. You will analyse results to drive product roadmap recommendations that reduce friction and boost conversion.

You will build and maintain data products and dashboards to empower self-service data literacy for product managers, design researchers and engineers. You will 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. You will partner with product managers, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights.

You will bring 5+ years of experience in analytical roles, excellent SQL skills, and the ability to write clear, performant and reliable queries across large and complex datasets. You should have strong product analytics experience in at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference or product opportunity sizing. You should have experience building and owning production-grade analytical assets such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards or trusted self-service datasets.

You should understand what makes data usable by AI systems, including clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests and documentation that can be retrieved and reasoned over. You should enjoy working independently in a fast-paced environment, identify high-impact opportunities and make them happen, triage requests by impact, and know when to go deep versus deliver 80/20 results. Excellent verbal and written communication is required, including the ability to communicate what matters clearly and create dashboards and visualisations that tell a story and have diagnostic power. You should be experienced in funnel analysis, customer segmentation or cohort analysis, or metrics decomposition, and be able to structure problems before diving into data and find the signal in the noise.

Prior experience in the B2B space, A/B testing or causal inference experience, familiarity with onboarding frameworks and KYC/KYB processes, and experience using AI and machine learning to enhance analytical results and automate routine work are desirable but not essential.

The salary is £75,000–£115,000. The role includes Company Restricted Stock Units, benefits in the London office, hybrid working, paid annual holiday, sick days, parental leave and other leave opportunities, and six weeks of paid sabbatical after four years at Wise on top of annual leave.