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About the Role

As a Lead Product Analyst, your mission will be to deeply understand customer needs during registration and account access, partner with your cross-functional team to solve critical pain points, and drive strategy and growth through data-driven insights and recommendations. This role involves balancing friction to deflect bad actors while ensuring a good experience for legitimate users. You will also have the opportunity to work across horizontal teams and collaborate with domains like Onboarding, Fincrime, Finance, and Product verticals.

Responsibilities

Derive actionable insights from data to inform product decisions, supporting and improving onboarding and access for new and existing customers.
Partner with product managers, engineers, and designers throughout the product development lifecycle to build and iterate product changes based on insights.
Evaluate high-impact areas of opportunity, find ways to support and accelerate, or identify and advocate for better alternatives.
Build automated data pipelines and dashboards to minimize repetitive tasks and enable data self-serve.
Help the team understand their progress and communicate this outside the team by defining and reporting on KPIs.
Collaborate with cross-functional teams to identify and prioritize opportunities for AI-driven automation and insight generation.

Requirements

Strong quantitative skills with hands-on data manipulation and analysis.
Advanced SQL skills and experience working with data pipelines.
Strong communication skills and ability to translate business problems into analytical solutions.
Experience working with data visualization tools (Looker, PowerBI, Tableau etc.) and Python/R.
Ability to derive actionable insights from data to inform product decisions, from improving onboarding flow to reducing friction and saving costs.
Creative problem-solving skills and ability to prioritize in a fast-paced environment.
Leverage AI tools and machine learning techniques to improve analytics outcomes and discover new, critical insights.
Knowledge of the FinTech ecosystem (Nice to have).
Knowledge of the Fraud and Authentication space (Nice to have).

Skills

Data manipulation
Data analysis
SQL
Data pipelines
Data visualization tools (Looker, PowerBI, Tableau)
Python
R
AI tools
Machine learning techniques

Location

London

Work Type

Hybrid working

Experience Level

Lead

Salary/Compensations

£75,000 - £115,000

Benefits

Company Restricted Stock Units
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.
We are people building money without borders — without judgement or prejudice.
We believe teams are strongest when they are diverse, equitable and inclusive.
We 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

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.