Business Analyst/ Data Analyst

HKT; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Benefits offered by this job

Health insurance

Job summary

HKT is seeking a data-driven analyst to translate group-wide goals into quantitative analytics using unified customer data across Telecom, Financial Services, and Digital Health. Build dashboards and KPI frameworks to monitor loyalty health and drive cross-pillar engagement.

You will run A/B tests, analyze campaign ROI, and synthesize web/app analytics with loyalty data to provide executive-ready insights and proactive alerts for decision-makers. Cantonese and English communication required.

Qualifications

• 1+ year hands-on analytics experience in BI or digital analytics.
• Advanced SQL and scripting in Python or R for data manipulation and statistics.
• Ability to design and build executive dashboards in Power BI/Tableau/Looker Studio.
• Solid understanding of customer acquisition/retention funnels and CRM metrics.
• Fluent Cantonese and English for stakeholder communication.

Responsibilities

• Translate group goals into quantitative analytical frameworks using unified data to maximize CLV.
• Conduct deep-dive profiling and multi-dimensional segmentation across telecommunication, finance, and digital health/insurance.
• Identify high-value cross-sell/up-sell pathways across the group.
• Build and maintain executive scorecards, KPI frameworks, and BI dashboards.
• Evaluate campaign effectiveness and measure ROI across acquisition, engagement, and retention.
• Synthesize product analytics with loyalty data to maintain a 360-degree customer view.

Skills

SQL

Python

Power BI

Tableau

Looker Studio

A/B Testing

CRM Analytics

Storytelling

Cantonese/English

Education

Bachelor's or Master's in a quantitative field

Tools

BigQuery

Redshift

Excel

Git

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, and establish proactive 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.