Data Analytics

Job Description 1. Data Platform & Architecture (Collaborative Delivery) • Participate in the end‑to‑end build and evolution of enterprise‑scale GWB data platforms, including datamarts and analytics layers, in close collaboration with key Technology and delivery partners. • Contribute to data modelling standards, transformation logic and reusable engineering patterns, ensuring scalability, performance and consistency across countries and products. 2. Analytics Enablement & Business Partnership • Work closely with Data Analysts / Scientists, Business stakeholders, Technology and Data Governance teams to enable governed self‑service analytics and downstream use cases. • Support advanced analytics initiatives (e.g. risk assurance, early warning, monetisation, GenAI‑enabled analytics) by helping ensure reliable, well‑structured and well‑documented data foundations. • Provide technical input and practical perspectives to analytics leadership on feasibility, dependencies, sequencing and implementation considerations. 3. Governance, Risk & Regulatory Readiness • Ensure data engineering deliverables adhere to data access controls, country restrictions, governance approvals and regulatory requirements, particularly for cross‑border data use. • Support internal audits, model validation and regulatory reviews through clear documentation, traceability and explainability of data pipelines and transformations. 4. People & Capability Contribution • Contribute to raising engineering standards and good data practices within the GWB Data Analytics team through reviews, knowledge sharing and mentoring. • Review designs, code and delivery approaches, helping teammates develop platform‑level thinking rather than ad‑hoc solutions. Required Experience & Qualifications Essential • 8–12+ years of experience in data engineering, data platform or analytics engineering roles, preferably within banking or large regulated environments. • Hands‑on experience participating in enterprise‑scale data platform or datamart implementations (EDW, Datamarts, Data Lakes), from requirements through to UAT and production. • Strong working knowledge of SQL, data modelling, ETL / ELT frameworks, and performance optimisation concepts. • Experience working in multi‑stakeholder delivery environments, collaborating with Technology, Business and Analytics teams. Strongly Preferred • Exposure to Wholesale Banking, Credit, Trade, Liquidity, Risk or Finance data domains. • Experience working with self‑service BI ecosystems, layered data architectures and governed analytics platforms. • Familiarity with data governance, audit considerations and regulatory data controls in a banking environment. • Prior experience acting as a technical lead, workstream lead, or senior individual contributor. Personal Attributes • Strong sense of ownership with a delivery‑oriented and methodical approach • Comfortable operating across business discussions and hands‑on technical work • Clear and practical communicator able to bridge business, analytics and engineering • Calm, dependable and constructive under delivery pressure • Sound ethics and governance mindset suited to a regulated institution