Data Business Analyst
Responsibilities:
- Gather and analyse business requirements related to data initiatives that support the enterprise-wide data transformation program.
- Translate business needs into clear data specifications, including KPIs, metrics, and reporting requirements.
- Perform data validation to ensure accuracy, consistency, and integrity as part of the enterprise-wide data transformation initiative.
- Develop and maintain dashboards, reports, and visualizations using tools such as Power BI to support ongoing data quality monitoring and identify opportunities for continuous improvement.
- Maintain and enhance data dictionaries, business processes, data flows, and business requirements to ensure transparency, traceability, and alignment across teams.
- Apply domain expertise in both Hong Kong Life and General Insurance to ensure that industry-specific requirements are accurately captured and aligned with local regulatory standards.
- Support project scrum execution by actively participating in sprint planning, daily stand-ups, and retrospectives, ensuring data-related tasks are clearly defined, prioritized, and delivered on time.
Experience Required:
- Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field.
- 3+ years of experience as a data/business analyst working within insurance or financial services, with exposure to policy, claims, customer, or risk data.
- Strong skills in data querying, profiling, and transformation using SQL and Spark (Databricks/Spark SQL).
- Experience translating business requirements into data requirements, mapping data flows, and defining user stories/specs for data engineering teams.
- Familiarity with data governance platforms and best practices, especially using Informatica for data cataloguing, metadata management, and lineage.
- Understanding of insurance industry standards and regulatory requirements as they impact data capture, usage, and reporting (e.g., IFRS 17, Solvency II).
- Experience documenting data models, dictionaries, and business glossaries, and supporting user acceptance testing for analytical or reporting solutions.
- Excellent communication skills to work cross-functionally with business stakeholders, data engineers, architects, and governance teams.
