Hong KongWhat you’ll be doing
- Build dashboards and develop insights for business units including leadership dashboards, regular reports and ad-hoc analysis
- Drive the development and application of statistical and propensity models in customer segmentation and retention strategies for maximizing the sales and revenue growth, product profitability analysis, etc
- Prepare, analyse and deliver management information
- Provide first line support for local data issues and maintain best practices for Data Management
- Work with the Tech team in creating technology platforms across Data Management and Governance Platform, integration platform between applications running on-premise and on cloud and Data Lake / Data Visualization / Data Analytics Solutions
Who we think you are
- Degree holder in Finance, Statistics, Technology or other related disciplines
- Minimum 3 years of experience in retail data analysis
- Proven experience in data modelling, data mining preferably in financial institutions with regional/global project exposure
- Excellent in Tableau and SQL
- Proficiency in SAS-EG, Python, R is a plus
- Experienced in implementing data solutions on the Big Data platform including Data Lake, HDInsight, Hadoop, Spark, etc.
- Demonstrated ability to collaborate with business stakeholders to design enterprise-wide data attributes that help gather seamless business requirements for reports, datasets, dashboards and other artifacts. Knowledge of banking industry preferred
- Ability to work independently and strategically, open to tackling new issues and sounding out new ideas
- A proactive and can-do attitude
- Excellent communication skills in English, Cantonese, and Mandari
