Lead Product Analyst – Business Onboarding

Overview

As Lead Product Analyst for the Business Account squad and Business Onboarding, you will uncover how business customers register, regain access, and complete checks to use Wise safely. You’ll balance conversion, customer experience, efficiency, and risk controls to reduce friction for legitimate businesses while deflecting bad actors. You’ll collaborate across teams to ensure a seamless onboarding experience at scale. This is a chance to shape onboarding analytics, data foundations, and product decisions in a fast-paced environment.

Pay / Benefits

• Company Restricted Stock Units
• Hybrid working
• Paid annual leave
• Sick days
• Parental leave
• Sabbatical after 4 years

Responsibilities

• Own the KPI tree and core metrics for business onboarding and ensure alignment
• Perform funnel analysis to identify high-impact opportunities and prioritize projects
• Lead experimentation and A/B tests for onboarding; translate results into roadmap recommendations
• Build and maintain data products and dashboards to enable self-service data literacy
• Design LLM-ready data foundations for onboarding analytics (entities, schemas, metadata, governance)
• Partner with product managers, engineers and designers across the product lifecycle to iterate based on insights

Key requirements

• 5+ years in analytical roles
• Strong SQL and ability to write performant queries across large datasets
• Experience with at least three of: funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, product opportunity sizing
• Experience building/owning production-grade analytical assets (dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, self-serve datasets)
• LLM-ready data thinking: clear definitions, metadata, provenance, access controls, documentation for AI reuse
• Independent, fast-paced worker who priorities impact and balances depth vs. breadth
• Excellent communication; able to craft dashboards and tell a data-backed story
• Solid analytical thinking with ability to structure problems before diving into data

• communication excellence
• ownership and initiative
• fast-paced self-starter
• SQL
• funnel analysis
• customer segmentation

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