Data Scientist (HR Analytics)

This role will require him/her to support in the following tasks:

• Work closely as part of the agile product team to design, develop, test and deploy data analytics/scientist products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the Product Manager.
• Conduct detailed requirements gathering and clarify requirements with the end users, when required, to formulate, translate and refine their business questions into technical and analytical requirements.
• Carry out data audits and technical feasibility assessments.
• Design and develop data analytics/scientist products with the necessary authorisation mechanisms and measures to meet business, user experience, performance and security requirements, using established processes and tools on the Authority’s Enterprise Data Analytics Platform.
• Work closely with relevant technical teams (e.g. Enterprise Data Analytics Platform team, Data Integration team, Database team etc.) during design, development, system integration, testing and deployment, implementing changes if required.
• Perform vulnerability assessments and code quality tests where applicable. Rectify any vulnerability or code quality issues surfaced.
• Conduct User Acceptance Tests based on acceptance criteria in Product Backlog, review feedbacks received and include them in the Product Backlog for prioritisation if applicable.
• Conduct end-user training, handover training and product demonstrations.
• Provide on-site support to troubleshoot any problems and address users’ queries relating to deployed data analytics/scientist products (interactive dashboards, reports and machine learning models).
• Develop and maintain documentations according to the Authority’s Quality Management System (QMS) guidelines (e.g. user guide, design specifications).
• Work with end-users to explore and analyse data for trends and insights relating to user business questions.
• Maintain existing dashboard for additional indicators/charts including raising Service Request(SR) for data extractions.

Requirements:

• Minimum two (2) years of experience in designing and developing applications using Qlik Sense, Informatica, Talend or equivalent. - Minimum one (1) year of data manipulation experience in Python and SQL.
• Experience in dimensional modelling, data warehousing techniques (e.g. data cleansing, merging and other data manipulation tasks) would be advantageous.
• Knowledge of methodology and techniques in software testing, and techniques in security vulnerability assessment and testing would be advantageous.
• Possesses good planning and coordination skills with strong ability to work independently, efficiently and as a team, manage timelines and expectations, and is responsible and conscientious in producing high quality deliverables (which minimally includes documentation, presentations, and prototypes).