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EIRE Systems (Hong Kong) Limited is hiring a Business Analyst for Finance Transformation and Data Platform work. You will bridge Finance users and IT/Data Engineering, defining data requirements, mappings and governance to enable financial transformation initiatives.
The role involves prototyping with Python, leading UAT cycles, and producing user guides to support platform adoption and ongoing analytics. Fluent English and Chinese are expected.
We are seeking a highly analytical and technically adept Business Analyst. In this role, you will serve as the crucial link between Finance business users and IT/Data Engineering teams to drive the financial transformation initiatives.
1. Requirements Engineering & Business Logic Definition
Engage with finance and accounting teams to gather, clarify, and document comprehensive business requirements.
Translate complex financial calculation workflows (e.g., liabilities roll-forward, P&L attributions, month-end reconciliations) into detailed technical specifications, flowcharts, and functional design documents.
Facilitate workshops with business stakeholders and IT architects to align on calculation interpretations and business rules.
Manage requirements throughout the project lifecycle: create user stories, acceptance criteria, process maps, and traceability matrices while managing dependencies, risks, and changes.
2. Data Platform Architecture & Solution Alignment
Collaborate with IT teams to define data requirements, source-to-target (S2T) mappings, data flows, and platform integration logic.
Develop and maintain functional specifications, data dictionaries, business definitions, and process mapping documentation.
Establish business validation rules, perform data quality checks, and support issue resolution across data pipelines.
Ensure all proposed solution designs align with data governance, data lineage, auditability, access control, and regulatory standards.
3. Prototyping, Testing & Implementation Support
Write Python scripts to prototype, simulate, and validate complex data transformations and calculation logic prior to full IT deployment.
Partner with IT engineering teams to ensure technical deliverables strictly accurately reflect documented business rules.
Lead User Acceptance Testing (UAT) cycles, including test plan creation, test case preparation, defect triage, and business sign-off.
Document transformation logic, calculation algorithms, and system workflows for post-implementation reference.
4. Enablement & Operations Support
Produce user guides, operational documentation, and training materials to facilitate smooth platform adoption by business users.
Support ad-hoc analytics, financial reporting requests, and ongoing system optimization based on business feedback.
We are seeking a highly analytical and technically adept Business Analyst. In this role, you will serve as the crucial link between Finance business users and IT/Data Engineering teams to drive the financial transformation initiatives.
Education: Bachelor’s degree in Information Systems, Finance, Accounting, Computer Science, or a related discipline.
Experience: 2–3 years of experience as a Business Analyst, Systems Analyst, or Data Analyst, ideally within Financial Services, Insurance, or Banking.
Domain Knowledge: Solid understanding of core financial and accounting concepts (e.g., month-end closing processes, reconciliations, general ledger workflows, budgeting, regulatory reporting).
Technical Skills:
Python: Proficiency in Python for data wrangling, prototyping calculation logic, and data transformation scripts.
Data Modeling: Strong experience with data platforms, SQL, data dictionaries, and source-to-target mapping.
AI & Productivity Tools: Practical, day-to-day experience using Microsoft 365 Copilot and approved generative AI tools to enhance documentation, analysis, and productivity.
Languages: Fluent in English and Chinese (Cantonese and/or Mandarin) with strong written and verbal communication skills to interface between technical engineers and business executives.
Central, Central and Western District, HK