Business Analyst / Data Analyst

HKT; Hong Kong; On-site; HKD 360,000 - 600,000; Full time

Job summary

HKT is seeking a Business Analytics professional to translate group goals into quantitative frameworks using unified customer data across Telecom, Financial Services, and Digital Health. You will map cross-pillars, identify high-value cross-sell pathways, and build executive KPI dashboards to monitor loyalty health metrics.

You will also evaluate campaign ROI, design A/B experiments, and synthesize diverse data sources to maintain a true 360-degree customer view, enabling proactive NLQ-based

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 1+ year hands-on experience in business analytics, BI development, CRM analytics, or digital analytics.
• Advanced SQL & scripting using Python or R.
• Strong ability to design and build executive dashboards in BI tools.
• Understanding of customer acquisition/retention and digital journeys.
• Excellent storytelling and presentation skills in English and Cantonese.

Responsibilities

• Translate group-wide goals into quantitative analytical frameworks across Telecom, Financial Services, and Digital Health.
• Perform deep-dive profiling and multi-dimensional segmentation to map cross-pillar journeys.
• Identify high-value cross-selling opportunities across products within the group.
• Build and maintain executive scorecards, KPI frameworks, and BI dashboards.
• Evaluate campaign effectiveness, measure ROI, and optimize offers.
• Develop A/B and multivariate experiments to improve member engagement.
• Synthesize web/app analytics with backend data for a 360-degree customer view.
• Implement NLQ-enabled reporting and anomaly detection for rapid decisions.

Skills

SQL

Python

R

Cantonese

English

Communication

Storytelling

Education

Bachelor's or Master's degree in Business Analytics, Statistics, Computer Science, Information Systems, Data Science, or related quantitative field

Tools

Power BI

Tableau

Looker Studio

Job description

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 Customer 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:

Bachelor's or Master's degree in Business Analytics, Statistics, Computer Science, Information Systems, Data Science, or a related quantitative field.

1+ year 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.

PCCW Group is a global company headquartered in Hong Kong which holds interests in telecommunications, media, IT solutions, property development and investment, and other businesses.

The Company holds a majority stake in the HKT Trust and HKT Limited, Hong Kong’s premier telecommunications service provider and leading operator of fixed-line, broadband, mobile communication and media entertainment services. HKT delivers end-to-end integrated business transformation solutions and has built a digital ecosystem integrating its loyalty programme, e-commerce, travel, insurance, big data analytics, fintech and healthtech services to deepen its relationship with customers.