Job Experience
Planning and executing the development of analytics dashboards and other solutions in line with the Analytics Roadmap. This includes working from initial design to data sourcing/cleansing, model development/validation, implementation, prototyping and testing with end users
Use functional understanding alongside data mining techniques to highlight opportunities for further data insight
Willingness to learn new techniques proactively with a clear focus on how this can be used
Working closely with stakeholders and end users to understand domain knowledge and determining how best to deliver actionable results
Assisting on building dashboards and drawing ad-hoc data insight in a simple to understand way
Working collaboratively with the rest of the IT team members – based onshore and offshore – to develop solutions delivered are high-quality and easy-to-support
Building analytics capability and understanding across t – by being able to explain in simple terms what you are working on and how it helps operational targets
Development Teams (based in HK & India); Ops & Support (based in HK & India); Internal Stakeholders – Director-level and below
Interaction with vendors/third parties
Qualifications
3+ years experience in a Data Analytics role – specifically in leveraging big data volumes, hands-on statistical analysis process with basic knowledge in Machine Learning & AI Technologies.
A proven track-record in developing and landing actionable insight that has translated into real business benefits
Exposure and hands-on experience to a broad range of
Database technologies (e.g. SQL, NoSQL, Graph Databases)
Data Science Programming Frameworks (e.g. Python, R) and
Data Visualisation Tools (Tableau)
Passion in data analysis, with solid foundation of statistical knowledge, correct advisory on various data tools
Excellent communication and presentation skills in English
Degree in Data Science related field - such as Maths, Statistics, Computer Science or similar (Bachelors minimum requirement; Masters preferable)
Certificates in Tableau or native-cloud platforms
Experience in GenerativeAI model hands-on usage and model tuning and configuration
Experience on Machine Learning end-to-end projects, with motivation on self-study learning
Exposure on Cloud and Big Data technologies (e.g., AWS, MS Azure, Google Cloud, Spark, Hive, Presto).