Top Data & Analytics Jobs in London

As a Lead Analytics Engineer, you will mentor analysts, define data infrastructure, build core datasets, and promote best practices in data modelling and BI tools.

You'll partner with senior leaders to define and improve reliability metrics, influencing decisions based on data insights and system performance.

The Senior Product Analyst will assist in leveraging data analytics for financial crime product teams to drive growth while ensuring risk minimization. Responsibilities include developing metrics, constructing data pipelines, and collaborating with stakeholders to enhance customer experience.

As a Lead Product Analyst, understand business customer needs in onboarding, drive conversion, analyze data, and collaborate across teams for improved user experience.

The Analytics Director will lead a team of analysts, define strategies for the Regional Platform squad, set KPIs, and take ownership of complex projects to improve analytics and support product decisions.

The Senior Marketing Data Analyst will maintain the attribution model, ensure data accuracy, work with marketing and data teams, and provide insights to improve marketing effectiveness.

The Senior Product Analyst will analyze fraud controls and contribute to data-driven decisions to strengthen Wise's fraud prevention efforts. Responsibilities include KPI management, anomaly detection, and reporting to senior stakeholders.

The Staff Data Analyst leads complex projects, develops scalable data solutions, and mentors other analysts while driving strategic initiatives at Wise.

Lead analytics for FinCrime operations: build forecasting and capacity-planning models, own data pipelines, develop predictive models and cause-effect analysis, track KPIs and initiative performance, conduct cost and operational health analyses, and standardise forecasting and real-time processes with stakeholders.

Partner with global compliance teams to build and own reporting for regulatory reporting, compliance monitoring and testing. Develop data pipelines, design data assets, create visualisations, and identify opportunities for automated monitoring to provide assurance to stakeholders and regulators, primarily for UK & Europe.