Linus Lee

Linus Lee

Data Analyst - Enterprise Architecture & Data Team @ MTR Corporation Limited 香港鐵路有限公司

About

Data Analyst with experience in data science, business analytics, and AI-driven BI solutions. Holding an MSc degree in Business Analytics, skilled in Python, SQL, Azure, and Databricks, with hands-on exposure to business data analysis and project management. Proven ability to manage stakeholders, lead data teams, and deliver actionable insights that optimize customer experience, improve decision-making, and enhance business performance under diverse business environments.

Country

-

City

Hong Kong SAR

Industry

Information Technology & Services

Skill

Data Analytics, SQL, Python (Programming Language), Microsoft Power BI, Tableau, Machine Learning, Artificial Intelligence (AI), Mobile Application Development, Visual Basic for Applications (VBA), Big Data Analytics, Project Management, Agile Methodologies, FinTech, Spreadsheets

Experience

MTR Corporation Limited 香港鐵路有限公司

Data Analyst - Enterprise Architecture & Data Team

MTR Corporation Limited 香港鐵路有限公司

LinkedIn
2022-7 - Present · 4 yrs 3 mos

Hong Kong SAR

▪Served as analytics lead in the new CRM Data Ingestion and Dashboard initiative by managing requirements, coordinating with IT and external vendors, and conducting change management workshops and user walkthroughs to ensure seamless transition and high‑quality delivery. Delivered end‑to‑end contextual marketing analysis, driving an 80% reduction in data processing time and a 100% increase in promotion response rate, while enabling continuous monitoring of campaign performance, customer behavior, and channel KPIs ▪Championed automation, MI, and data visualization by designing and developing Power BI dashboards for Cleaning Contracts Performance Monitoring, eliminating over 9,000 monthly paper submissions and enabling real‑time performance tracking and self‑service analytics, and ensuring timely, accurate insights for planning and optimization ▪Exhibited strong project management and agile delivery skills, leading large‑scale analytics initiatives from planning through execution, including new CRM data ingestion, Mobile 3.0 OD Prediction, Google Analytics Mobile Event Data, and ERP dashboard validation. Successfully managed multiple streams under tight timelines, reprioritizing projects in response to evolving business needs and developing interim manual reporting solutions during CRM platform migration to ensure uninterrupted management reporting and informed decision‑making ▪Spearheaded predictive analytics and advanced analytics initiatives such as the Mobile 3.0 OD Prediction project, developing train journey estimation logic that enhanced real‑time user experience and operational efficiency. Applied predictive modelling and segmentation concepts to build behavior‑based use cases, laying the foundation for broader machine learning and supervised/unsupervised techniques on customer and digital footprint data

MTR Corporation Limited 香港鐵路有限公司

Information Technology Associate

MTR Corporation Limited 香港鐵路有限公司

LinkedIn
2020-7 - 2022-7 · 2 yrs 1 mo
Hang Seng Bank

Commercial Banking

Hang Seng Bank

LinkedIn
2018-9 - 2019-7 · 11 mos
EY

Transaction Advisory Services

EY

LinkedIn
2018-7 - 2018-8 · 2 mos
China CITIC Bank International Limited

Operations & Technology Group

China CITIC Bank International Limited

LinkedIn
2017-6 - 2017-7 · 2 mos
Swire Resources Limited

Wholesale Apparel

Swire Resources Limited

LinkedIn
2015-5 - 2015-7 · 3 mos

Education

The Hong Kong University of Science and Technology

The Hong Kong University of Science and Technology

LinkedIn

Business Analytics

2023-8 - 2025-7 · 2 yrs
City University of Hong Kong

City University of Hong Kong

LinkedIn

Global Business Systems Management

2015 - 2020 · 5 yrs
Guanghua School of Management, Peking University

Guanghua School of Management, Peking University

LinkedIn
2018 - 2018
University of Warwick - Warwick Business School

University of Warwick - Warwick Business School

LinkedIn
2017 - 2017

Linus Lee's Contact Information

Email

******@***.com

Phone

(**) *** ****

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