Senior Data Analyst

Pacific Century CyberWorks Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Pacific Century CyberWorks Limited seeks an experienced Senior Data Analytics professional to translate business goals into quantitative analytics across diverse digital ecosystems. You will consolidate telecom, financial services, and digital health data to optimize CLV and drive cross-pillar growth.

The role requires advanced SQL, Python/R, and strong BI skills to design executive dashboards and actionable insights for leadership.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., Business Analytics, Statistics, CS, IS, Data Science).
• 2–4+ years hands-on experience in business analytics, BI development, CRM analytics, or digital analytics.
• Advanced SQL and scripting in Python or R for data manipulation and statistical analysis.
• BI dashboards design and development in Power BI, Tableau, or Looker Studio.

Responsibilities

• Translate group-wide commercial goals into quantitative analytical frameworks using unified customer data to maximize CLV.
• Conduct deep-dive customer profiling and segmentation to map cross-pillar journey touchpoints.
• Identify high-value cross-selling pathways to expand multi-product holdings across the group.
• Build and maintain executive scorecards, KPI frameworks, and BI dashboards to monitor loyalty health metrics.
• Evaluate campaign effectiveness across acquisition, engagement, and retention; measure ROI and elasticity.

Skills

SQL

Python or R

Data visualization

Executive storytelling

CRM analytics

Customer journey analytics

Education

Bachelor’s or Master’s in a quantitative field

Master’s preferred

Tools

Power BI

Tableau/Looker Studio

BigQuery/AWS Redshift

Job description

About the job

HKT Digital Ventures builds a growth model with an integrated digital ecosystem consisting of business verticals ranging from e-Commerce, insurance, digital health, travel to FinTech services. Leveraged by high profiling loyalty program and big data of high future visibility, we run a very successful and promising digital ecosystem in Hong Kong.

Your role:

• Translate group-wide commercial goals into quantitative analytical frameworks, using unified customer data across Telecom, Financial Services, and Digital Health / Insurance to maximize Custom er Lifetime Value (CLV).
• Conduct deep-dive customer profiling and multi-dimensional segmentation to map cross-pillar journey touchpoints and tier progression.
• Identify high-value cross-selling and up-selling pathways to expand multi-product holding across the group.
• Build and maintain holistic executive scorecards, KPI frameworks, and BI dashboards to monitor core loyalty health metrics
• Evaluate customer campaign effectiveness across acquisition, engagement, and retention programs measure offer redemption elasticity, multi-touch attribution, and ROI.
• Formulate and analyze A/B and multivariate experimentation frameworks to drive continuous improvement in member engagement strategies.
• Synthesize digital product analytics (web/app clickstream, event payloads) with backend transactional and loyalty data to maintain a true 360-degree customer view.
• Implement conversational analytics interfaces and AI-assisted workflows to automate routine reporting, enable natural language querying (NLQ) for business leaders, andestablishproactive anomaly detection alerts for rapid decision-making.

To succeed in this role:

• Education: Bachelor's or Master's degree in Business Analytics, Statistics, Computer Science, Information Systems, Data Science, or a related quantitative field.
• Experience: 2-4+ years of hands-on experience in business analytics, BI development, customer/CRM analytics, or digital analytics.
• Advanced SQL & Scripting: High proficiency in production-grade SQL and scripting languages like Python or R for data manipulation and statistical analysis.
• BI Expertise: Proven ability to design and build high-performance, interactive executive dashboards in Power BI, Tableau, or Looker Studio.
• Domain & Funnel Knowledge: Solid understanding of customer acquisition/retention loops, CRM performance metrics, and web/mobile digital user journeys.
• Communication & Storytelling: Strong ability to translate complex analytical findings into executive-ready insights and presentation decks for non-technical leadership. Good command of Cantonese and English.

A nice-to-have in this role:

• Cloud Migration & Data Architecture: Prior experience participating in cloud migration initiatives or working directly with cloud data warehouses, specifically Google Cloud Platform (BigQuery) or AWS (Redshift).
• ETL/ELT Pipeline Modeling: Hands-on experience or familiarity in designing and modeling scalable ETL/ELT pipelines, schemas, and analytics engineering tools.
• AI & Workflow Automation: Familiarity with leveraging Generative AI / LLMs to accelerate SQL generation, python scripting, or automated documentation.
• Industry Experience: Background in Loyalty Program, Telecom, E-Commerce, InsurTech, HealthTech or FinTech.
• Customer Data Ecosystems: Experience working with Customer Data Platforms (CDPs), CRM automation tools (e.g., Adobe Campaign, Salesforce, HubSpot), or predictive modeling techniques.

HKT is an equal opportunity employer and welcomes applications from all qualified candidates. Information provided will be treated in strict confidence and will only be used for recruitment-related purposes. Personal data provided by job applicants will be used strictly in accordance with the employer's personal data policies (www.hkt/privacy-statement), a copy of which will be provided immediately upon request.