Top Data & Analytics Jobs

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.

Drive product analytics for high-value customers executing complex transfers: analyze end-to-end funnels, define KPIs, extract growth insights, own metrics, collaborate across Product/Engineering/Operations, and translate data into actionable product improvements.

Lead CRM data analyst responsible for driving lifecycle marketing measurement, designing experiments, building segmentation models, ensuring data quality, and delivering scalable dashboards and actionable insights to optimise acquisition, engagement, and retention.

Lead CRM analytics for Personal and Business segments: own global CRM measurement framework, ensure data quality, deliver performance analysis and strategic recommendations, support segmentation and statistical models, run A/B and incrementality tests, and manage two CRM analysts.

Lead analytics for the global CRM program across Personal and Business segments: own the measurement framework, ensure data quality, run performance and incremental impact analyses, support segmentation and statistical modeling, translate insights for stakeholders, and manage and mentor two CRM analysts.

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.

Build and own data pipelines and metric definitions for finance reporting, map systems to the General Ledger, produce audit-ready data extracts, automate reporting integrations (Anaplan/Planful), and partner with Finance leadership to ensure consistent, accurate financial disclosures.

Partner with operations teams to drive analytics for capacity planning, forecasting, predictive modelling, and KPI implementation. Own data pipelines, provide operational health and cost analyses for KYC/FinCrime, track initiative performance, standardise processes, and deliver actionable insights using SQL, Snowflake, and visualization tools.

Lead analytics for personal onboarding and KYC, designing scalable data models and pipelines, building dashboards and self-serve data assets, quantifying risk/friction/cost trade-offs, partnering with Product, Engineering, Ops and Compliance to improve controls and operational efficiency.