Product Analytics Lead — Business Onboarding

Wise

Greater London

Hybrid

GBP 75,000 - 115,000

Full time

14 days+

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Benefits offered by this job

Restricted Stock Units
Hybrid working in London
Paid holidays, sick days, parental/le‑
6 weeks sabbatical after 4 years

Job summary

Wise is a global technology company building the best way to move and manage the world’s money. This role focuses on owning KPI trees and core onboarding metrics, leading experimentation, and building data foundations to empower product teams.

You will design dashboards and data assets to drive onboarding improvements and leverage AI-ready data governance. You will collaborate with product managers, engineers and designers, and contribute to the product roadmap with data-driven recommendations,

Qualifications

  • Strong SQL skills and ability to write clear, performant queries across large datasets.
  • Experience with funnel and cohort analysis, metrics decomposition and experimentation.
  • Comfort building production-grade analytical assets (dbt models, dashboards).
  • Familiarity with data governance, metadata, lineage, and self-serve analytics.

Responsibilities

  • Own the KPI tree and core onboarding metrics; align with stakeholders.
  • Lead experiments and A/B tests to improve onboarding and conversion.
  • Build and maintain dashboards and data products for PMs, designers and engineers.
  • Design LLM-ready data foundations for onboarding analytics and metadata definitions.
  • Collaborate with product managers, engineers and designers throughout development.

Skills

SQL
Funnel analysis
Cohort analysis
Experimentation
Data storytelling

Tools

dbt
Airflow
Semantic layers

Job description

Wise is a global technology company building the best way to move and manage the world’s money. This role focuses on owning KPI trees and core onboarding metrics, leading experimentation, and building data foundations to empower product teams.

You will design dashboards and data assets to drive onboarding improvements and leverage AI-ready data governance. You will collaborate with product managers, engineers and designers, and contribute to the product roadmap with data-driven recommendations,

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