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About the Role

As a Lead Product Analyst on the Business Account squad, you will deeply understand the needs of business customers during their initial registration, account recovery, and safety checks. Your mission is to help the team balance conversion, customer experience, operational efficiency, and risk controls, reducing friction for legitimate businesses while deterring bad actors. This role offers significant collaboration opportunities with teams like Business Pricing, Account Experience, and Verification to ensure a seamless customer experience.

Responsibilities

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 prioritize 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.
Partner with your product manager, engineers, and designers throughout the product development lifecycle to build and iterate product changes based on your insights.

Requirements

5+ years of experience in analytical roles.
Excellent SQL skills and 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 what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation.
Ability to work independently in a fast-paced environment.
Ability to identify high-impact opportunities and execute them.
Ability to triage requests by impact and know when to go deep versus deliver 80/20 results.
Excellent verbal and written communication skills.
Ability to craft dashboards and visualizations that tell a story and have diagnostic power.
Experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition.
Ability to structure problems before diving into data.
Ability to find the signal in the noise.

Skills

SQL
Funnel analysis
Customer segmentation
Cohort analysis
Metrics decomposition
Experimentation
Causal inference
Product opportunity sizing
dbt
Airflow
Semantic layers
Metric stores
Governed dashboards
Self-serve datasets
AI data usability
Data visualization

Location

London

Work Type

Hybrid working

Experience Level

5+ years of experience in analytical roles

Salary/Compensations

£75,000 - £115,000 yearly

Benefits

Company Restricted Stock Units
Hybrid working
Paid annual holiday
Sick days
Parental leave
Other leave opportunities
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Wise is on a mission to make people and businesses' lives easier and save them money when sending money abroad, spending abroad, or making and receiving international payments.
We’re people building money without borders — without judgement or prejudice, too.
We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

Equal Opportunity

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.