Project Assistant

Job Description: The Project Assistant will support a Data Analytics initiative led by the Digital & Data Team. This role is designed for someone who can coordinate multi-stakeholder activities and understands the fundamentals of data requirements, data quality, and data governance. You will help drive disciplined execution across both Waterfall and Agile delivery, ensuring key deliverables are well-managed, quality gates are met, evidence is captured, and project documentation remains audit-ready. The role requires close collaboration with Business, IT, Data teams, and control functions (Compliance / Risk) to ensure analytics solutions are delivered with strong traceability from requirements through deployment. Key Responsibilities: • Data Analytics Delivery Support: Support end-to-end delivery of analytics initiatives (data sourcing, profiling, transformation/ETL, pipelines, dashboards/model support) in accordance with HK SDLC / Group IT standards. • Stakeholder Coordination & Facilitation: Coordinate Business, IT, Data, Compliance, Risk, and vendors for workshops and checkpoints; manage minutes, actions, owners, and timelines. • Data Requirements & Specification Management: Capture and maintain KPI definitions, business rules, data dictionary, source-to-target mapping, assumptions, and data access/PII approval needs; support RACI/process documentation. • Project Governance & Progress Tracking: Maintain project plan, RAID log, dependency/action trackers, and provide regular status updates to ensure milestones and deliverables stay on track. • Data Quality & UAT Support: Coordinate data reconciliation and basic data quality checks, track defects and retests, and support business sign-off during UAT. • Quality Gate, Evidence & Traceability Control: Track quality gates and maintain audit-ready evidence and traceability from UR → Design → Build/Code → Test → Deployment, leveraging Jira/Confluence/SharePoint templates and repositories. Key Requirements: • Bachelor’s degree in Information Systems, Data Analytics, Business Administration, or related discipline. • 2–4 years of experience in project coordination / PMO support / IT delivery support (data or BI projects preferred). • Working knowledge of SDLC practices (Waterfall and/or Agile) and delivery artefacts (requirements, UAT, release documentation). • Familiarity with Jira / Confluence or similar project tracking and documentation tools. • Strong communication skills (written and verbal), with confidence to follow up actions across multiple stakeholders. • Detail-oriented and organized, able to manage multiple tasks and deadlines with good prioritization. Preferred Skills: • Exposure to Data Analytics / BI delivery (e.g., dashboards, KPIs, reporting, data pipelines, data mart changes). • Basic understanding of data and machine learning concepts. • Experience in Python, SQL, PowerBI for data manipulation, data analysis and data visualization. • Understanding of compliance and audit processes in Financial Industry. • Exposure to tooling integration and workflow automation. • Ability to work collaboratively across departments.