Xingshao Consulting

Business Registration Certificate - Platform Verification Approved

Data Analyst - (Power BI)

We are looking for a proactive Business Data Analyst (Data Enablement) to join our Data Analytics Platform division. Serving as a crucial link between commercial units and engineering squads, you will capture and define requirements surrounding reporting, business intelligence, and strategic decision-making. In this capacity, you will drive user enablement, reinforce data trustworthiness, and support ongoing architectural upgrades across our platform ecosystem.

Core Responsibilities

• Needs Discovery: Elicit, analyze, and refine business demands regarding self-service analytics, executive reporting, dashboards, and quantitative insights.

• Technical Translation: Partner with data engineers, architects, and platform developers to convert user requirements into precise data models, pipeline specifications, and functional deliverables.

• Data Discoverability & Literacy: Champion enablement initiatives by cataloging data assets, drafting data dictionaries, producing usage documentation, and guiding business adoption.

• Data Integrity & Validation: Bolster user confidence in centralized data by managing defect workflows, monitoring data quality checks, and facilitating user-side verification.

• Standardization & Governance Alignment: Liaise with governance leads and departmental stakeholders to harmonize data definitions, enterprise taxonomies, and compliance standards.

• Delivery Lifecycle Coordination: Run discovery workshops, lead grooming sessions, coordinate acceptance testing (UAT), and manage post-rollout user feedback loops.

• Ecosystem Evolution: Contribute to ongoing data platform modernization, workflow optimization, and continuous process enhancements.

Candidate Profile & Requirements

• Professional Background: Minimum 2 years of track record in business data analysis, data enablement, enterprise reporting delivery, or data product management.

• System Knowledge & Sector Experience: Hands-on exposure to modern enterprise data architectures, cloud warehouses, or lakehouses. Background in financial or other services (such as retail/corporate banking, insurance, asset management, or MPF/pension schemes) is strongly preferred.

• Functional Competence: Thorough grounding in data quality frameworks, metadata management, governance protocols, and end-to-end data pipeline operations.

• Communication & Alignment: Proven stakeholder-handling capabilities, able to communicate technical dependencies in plain business language and construct structured documentation.

• Platform Delivery: Power BI, Building dashboards.

Preferred Attributes

• Languages: Strong fluency in English, Cantonese, and Mandarin (both spoken and written).

• Work Ethic: High ownership mentality with a structured, delivery-focused problem-solving mindset.

• Accreditations : Recognized certifications in data governance (e.g., CDMP), analytics, or project frameworks (e.g., Scrum, PMP) will be an advantage.

• Public Sector Exposure: Previous experience participating in government or statutory body initiatives is a plus.

• Note: Candidates possessing strong potential but fewer years of relevant experience will be evaluated for the Business Data Analyst (Data Enablement) title.