Business Analyst, Data Office

The Career Works Limited; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

The Career Works Limited is seeking a Senior Business Analyst / Data Application SME to bridge business vision with engineering. You will lead end-to-end design of the Big Data Tag Factory, transforming complex datasets into actionable business assets.

You will drive advanced execution across marketing automation, CRM analytics, and regulatory reporting, resolving bottlenecks, reducing vendor reliance, and upskilling data delivery and compliance across the enterprise.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• Minimum 15 years of experience as a Business Analyst, Data Analyst, or Product Owner in data-heavy environments.
• Proven track record launching enterprise data products, Big Data tag architectures, CRM systems, or marketing automation tools.
• Banking/Financial Services/FinTech or e-commerce experience preferred.

Responsibilities

• Lead the design and requirement analysis for the Big Data Tag/Label Factory.
• Translate data insights into business tags, personas, and behavioral profiles for downstream teams.
• Translate marketing strategies into functional specs for automation platforms.
• Define audience segmentation mechanics and event-driven triggers for campaigns.
• Analyze customer data lifecycles to uncover insights on retention, churn, and engagement.
• Collaborate with CRM owners to maximize CLV via data-driven triggers and journeys.
• Coordinate with legal/compliance to document data definitions and KPIs.
• Ensure data pipelines and dashboards meet governance and regulatory standards.
• Act as Data Translator across business units, MarTech, Data Engineering, and vendors.
• Create BRD, User Stories, and Functional Specs; support UAT and end-to-end delivery.

Skills

Business knowledge

Stakeholder management

Data-driven decision making

Requirements gathering

Executive communication

Education

Bachelor’s degree or higher

Quantitative discipline

Tools

SQL

Hadoop/Spark/Hive

Snowflake/Databricks

Tableau

Power BI

CRM systems

CDP

Job description

Our client, a large commercial bank is looking to hire a Business Analyst.

The Senior Business Analyst / Data Application SME is a critical strategic hire designed to bridge existing capability gaps within our enterprise data application system. Acting as the ultimate bridge between business vision and technical engineering, this role will spearhead the end-to-end design of our Big Data Tag Factory to transform complex datasets into actionable business assets. Additionally, this individual will drive advanced execution across marketing strategy automation, CRM analytics, and regulatory reporting frameworks. The successful candidate will resolve current technical bottlenecks, reduce vendor reliance, and immediately upscale data delivery efficiency and compliance.

JOB RESPONSIBILITIES :

Lead the conceptualization, requirement analysis, and business logical design of the Big Data Tag/Label Factory.

Partner with data engineers to translate complex, massive datasets into high-value business tags, user personas, and behavioral profiles that empower downstream teams.

Translate marketing strategies into functional specifications for marketing automation platforms.

Define target audience segmentation mechanics and event-driven triggers to accelerate automated campaign deployment and precise customer reach.

Analyze customer data life cycles to uncover deep insights regarding retention, churn, and engagement.

Partner with CRM business owners to maximize Customer Lifecycle Value (CLV) through data-driven triggers and personalized customer journeys.

Liaise with legal, compliance, and audit teams to compile and document data definitions and key performance metrics.

Ensure all data pipelines, lineage, and reporting dashboards comply with internal audit policies and external regulatory standards to minimize compliance risk.

Act as the primary "Data Translator" across Business Units, MarTech teams, Data Engineering, and external vendors.

Own the creation of high-quality Business Requirement Documents (BRD), User Stories, and Functional Specifications, ensuring smooth UAT (User Acceptance Testing) and high-quality end-to-end delivery.

REQUIREMENTS :

1. Business Knowledge

Deep understanding of how data translates into business value, specifically in user tagging, CDP (Customer Data Platform), and predictive analytics.

Strong grasp of automated marketing frameworks, omni-channel customer journeys, and retention economics.

Up-to-date knowledge of data privacy laws, compliance reporting frameworks, and data governance practices.

Ability to dissect complex, unstructured business problems and architect logical, data-driven solutions.

Strong capacity to synthesize massive amounts of technical data infrastructure logic into actionable business frameworks.

High precision in defining business rules and metrics to ensure zero discrepancies in regulatory outputs.

3. Interpersonal Skills, Adversity and Change Management

Proven ability to build strong relationships and act as an effective bridge between technical engineers and business growth teams.

Capable of presenting complex data concepts clearly to senior management (e.g., C-suite/SME level) to drive alignment.

Strong skills in gathering implicit user requirements and understanding pain points from non-technical departments.

EDUCATION, EXPERIENCE & QUALIFICATION

1. Education Qualification

Bachelor’s Degree or higher in Information Systems, Computer Science, Data Science, Statistics, Business Administration, or a related quantitative discipline.

2. Working Experiences

Minimum 15 years of solid experience as a Business Analyst, Data Analyst, or Product Owner in data-heavy environments.

Proven track record in launching enterprise-level data products, Big Data tag architectures, CRM systems, or marketing automation tools.

Prior experience in Banking, Financial Services, FinTech, or E-commerce sectors is highly preferred.

3. Preferred additional qualifications

Proficiency in SQL is mandatory. Experience with Big Data environments (Hadoop, Spark, Hive) or modern Data Warehouses (Snowflake, Databricks) is highly preferred.

Expert in creating business-ready dashboards using Tableau, Power BI, or similar tools.

Familiarity with CRM systems (Salesforce, Adobe) and CDP (Customer Data Platforms) is highly advantageous.

CBAP (Certified Business Analysis Professional), PMP, Agile/Scrum Product Owner certifications, or relevant Cloud Data credentials.