
at HSBC
OtherPosted 13 days ago
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**Senior Business Analyst | HSBC** Drive accurate, controlled customer data migrations as our Senior Business Analyst. In this impactful role, you'll work cross-functionally (Technology, Operations, Risk, Compliance) to ensure data completeness, consistency, and fitness for purpose during CDMS HK migrations. Key responsibilities include migration analysis & planning, data quality profiling, build support, test execution, reconciliation, and stakeholder collaboration. Proven experience (3-6 years) in financial services, SQL proficiency, and strong communication skills are essential. Collaborate with diverse teams to deliver accurate, controlled data migrations that support HSBC's growth.
- Compensation
- Not specified
- City
- Hong Kong
- Country
- Hong Kong
Currency: Not specified
Full Job Description
Some careers have more impact than others.
If youre looking for a career where you can make a real impression, join HSBC and discover how valued youll be.
We are currently seeking an experienced professional to join our team in the role of Senior Business Analyst.
Business: Group DAO
Principal responsibilities
The HK Reference Data Business Analyst role is required to deliver accurate, controlled migration of Customer Reference Data to support the delivery of CDMS HK. Youll work with business and centralised migration execution teams to support migration activities end-to-end (analysis, mapping, cleansing, testing, reconciliation, cutover support), partnering closely with Technology, Operations, Data Owners, and Change teams to ensure data is complete, consistent, and fit for purpose. This is an individual contributor role (G5) with no people management responsibilities.
Key responsibilities include some of but not limited to:
Migration analysis & planning
Analyse source-to-target data movements for customer reference/master data domains (e.g., customer identifiers, names, addresses, contact details, tax residency indicators, KYC-related reference attributes).
Produce and maintain migration deliverables such as data scope, mapping specifications, transformation rules, data lineage notes, and reconciliation approach.
Support estimation and sequencing of migration waves; identify dependencies, assumptions, and constraints early.
Data quality, profiling & remediation
Perform data profiling to identify duplicates, missing values, invalid formats, and policy breaches.
Define and execute cleansing/remediation steps with Data Owners and upstream teams; track issues to closure.
Contribute to continuous improvement of data quality controls and repeatable migration playbooks.
Build support (requirements to engineering) & test execution
Translate business rules into clear requirements for ETL/configuration teams (or implement lightweight scripts where appropriate).
Create test scenarios and test data; execute SIT/UAT support activities focused on data outcomes.
Validate transformation logic through evidence-based checks (sampling + automated validations where possible).
Reconciliation, controls & cutover support
Run pre- and post-load reconciliations (record counts, key-field checks, exception reports, referential integrity checks).
Produce sign-off packs showing migration completeness, accuracy, and exceptions with clear risk statements.
Support dress rehearsals and cutover weekend activities, including defect triage and rollback considerations.
Governance, risk & documentation
Ensure migration activities meet HSBC control expectations (audit trail, approvals, evidence retention, change controls).
Escalate risks/issues promptly with options and impact assessment.
Maintain high-quality documentation that can be understood by stakeholders across Hong Kong and global teams.
Stakeholder collaboration
Work effectively with Technology, Data Governance, Operations, Compliance/Financial Crime teams, and programme change resources.
Communicate progress, blockers, and decisions clearlyespecially when trade-offs arise (time vs. quality vs. scope).
Key stakeholders
Technology (data engineering/ETL, application teams, testers)
Data Owners/Data Stewards
Operations/Customer Services teams (where data is originated/maintained)
Change/Programme Management
Risk & Compliance/Financial Crime (where data impacts controls and screening outcomes)
Requirements
Proven experience (typically 36 years) as a business and data analyst or similar in a complex, regulated environment (financial services preferred), working with large datasets and multiple data sources.
SQL (or equivalent) capability for data extraction, reconciliation and data analysis tasks.
Solid understanding of data quality management (profiling, controls, issue root-cause analysis) and working knowledge of data governance concepts (lineage, metadata, critical data elements).
Experience translating business requirements into analytical outputs (KPIs, metrics definitions, reporting packs), including documenting requirements and assumptions.
Exposure to reference/master data concepts and operating model practices (e.g., data standards, domain ownership, stewardship) is desirable.
Familiarity with Agile ways of working (user stories, sprint ceremonies) and collaborating effectively across business, operations and technology teams.
Strong communication skills: able to explain complex data findings clearly, challenge constructively, and influence outcomes with evidence.
Degree (or equivalent experience) in a quantitative discipline (e.g., statistics, mathematics, computer science, economics) or demonstrable applied analytical capability.
Experience working with operational teams to understand, map and improve end-to-end processes (e.g., SIPOC/process mapping), identifying data pain points, control gaps and opportunities for simplification/automation.
Proven involvement in data migration activities (e.g., legacy-to-target mapping, data profiling, transformation rules, reconciliation and post-migration validation), supporting cutover readiness and hypercare where required.
Working knowledge of process change governance (impacts, risks, controls, training/adoption considerations) and how process changes affect upstream/downstream data flows and reporting.
Youll achieve more when you join HSBC.
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued By HSBC Software Development (GuangDong) Limited***




