Top Data & Analytics Jobs

Lead a Treasury Global Liquidity data engineering team to design and deliver real-time liquidity observability, scalable event-driven systems, automated investment and risk tooling, and analytics/ML collaboration. Define technical strategy, partner with product and stakeholders, mentor engineers, and ensure resilient, high-performance data platforms that optimise cash management and customer experience.

Lead data architecture and resiliency for marketing data pipelines. Build scalable Airflow/dbt workflows, productionize CDP datasets, own MarTech integrations, bridge engineering and analytics, and mentor engineers to improve reliability and observability for high-volume streaming and batch systems.

Lead product-focused analytics for South Korea and Japan: identify growth opportunities, set KPIs, run product discovery, partner with PMs/engineers, improve funnels, and share regional insights to scale Wise.

Lead product analytics for Wise Business Multi-User Access: derive insights, define KPIs, run A/B tests, build automated data pipelines and dashboards, and drive cross-team product decisions including fraud, chargeback risk, and pricing.

Own and productionise growth marketing analytics infrastructure: build scalable growth narratives, automate marketing financials and insights, develop Lightdash/Streamlit/AI tools, create payback and financial models, partner with Finance and Marketing, ensure data quality, and reduce technical debt by building reusable data components.

The role involves partnering with Internal Audit to implement analytics strategies, enhance efficiency in audits, and automate processes. Responsibilities include working with diverse teams to conduct impactful data analytics and champion innovation across IA activities.

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

Lead Analytics Engineer mentors analysts, defines data infrastructure roadmap, builds and maintains core datasets and analytics pipelines, drives adoption of tooling (dbt, Airflow, BI), and enforces data modelling, monitoring, testing, and best practices.

Lead product analytics for LATAM & MEA expansion: define and monitor KPIs, support product launches with forecasting and experimentation, build reusable data assets, and influence product decisions through clear data-driven insights and stakeholder storytelling.

Partner with global compliance teams to build and own regulatory and monitoring reporting, develop analytics for compliance monitoring and testing, implement automated compliance monitoring, maintain data pipelines and assets, and surface insights to assure regulators and the Board that risks are effectively managed.