South China Morning Post is a leading news media company that has reported on China and Asia for more than a century with global impact. Founded in 1903, SCMP is headquartered in Hong Kong, where it is the city’s newspaper of record. Our teams span across Asia and the United States, working together to connect with news consumers around the world. We are committed to informing and inspiring through journalism of the highest standards. Our vision is to “Elevate Thought”, and our mission is to “Lead the global conversation about China”.


Against the backdrop of shifting discovery and consumption behaviours, SCMP reaches users across distributed media platforms including, smartphone and tablet apps, social media and messaging platforms, as well as our flagship newspaper. Additionally, SCMP is Asia’s leading magazine publisher with a portfolio of premium lifestyle and fashion titles including Cosmopolitan, ELLE, Esquire, Harper’s BAZAAR and The PEAK. We are also home to, a big data-powered recruitment platform that matches jobseekers with their dream jobs.

Data Analyst (Ref: DA-SA)

Job Responsibilities:

  • Use a variety of data analysis tools to explore our existing dataset to uncover correlations, predictive metrics & other insights that uncover the factors that drive growth at the SCMP.

  • Assist other members of the team in data analysis required to explore & validate hypotheses.

  • Build, own and manage initiatives to develop and automate tooling, dashboards & training to communicate relevant growth metrics to other stakeholders, both regularly and on an ad-hoc basis.

  • Collaborate with engineering to shape and drive tactical and strategic development of data infrastructure, reporting and analytical applications.

  • Work closely with data engineering and development team to build ETL pipelines.

  • Deliver reporting and analytics to cross functional management teams

  • Generate automated weekly reporting on various KPIs via Tableau

  • Perform ad-hoc analysis on multiple reporting metrics: CPA / CAC, LTV, ROI etc.

  • Own and manage multiple initiatives to develop and automate tracking mechanisms to measure multi-channel performance both regularly and on an ad-hoc basis.

  • Present insights and recommendations from analyses to senior management and influence behavioral change in decisions and direction across the company.

  • Develop, maintain and improve internal relationships with other business leaders and externally with vendors and partners.

  • Proactively initiate, scope, and execute projects across multiple business units with minimal guidance. Work closely across multiple teams to understand business requirements and ensure strategy and developed solutions, dashboards and analyses fit evolving needs.

  • Collaborate with engineering to shape and drive tactical and strategic development of data infrastructure, reporting and analytical applications.


Job Requirement:

  • Bachelor’s degree in Business, Economics, Finance, Math or Statistics. Computer Science or another technical field of study is also acceptable.

  • At least 3 years analytical experiences with high data volume environments, preferably in software, internet, media or telecom industry.

  • Technical expertise regarding statistics, data models, database design development, data mining and segmentation techniques.

  • Demonstrated experiences and strong track record in experimental design & interpretation, exploratory data analysis & prototyping. Startup experience is a plus.

  • Strong database experiences including proficiency in SQL, programming and API integration.

  • Strong communication and analytical skills, independent, sensitive to numbers.

  • Knowledge of Tableau, Hive, No-SQL, Hadoop, Graph or other data applications and related languages is a plus.

  • Work location will be in Causeway Bay office

Interested parties please send curriculum vitae with full career details, salary history, availability and expected salary to the People Department, 19/F Tower One, Times Square, 1 Matheson Street, Causeway Bay, Hong Kong or by clicking .


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