This role will require him/her to support in the following tasks:
- Work closely as part of the learning analytics team to design, develop, test and deploy data analytics/science products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the DSTA Data Scientist.
- 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 products with the necessary authorization 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 feedback received and include them in the Product Backlog for prioritization 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.
- Maintenance of existing solutions such as dashboard and data pipelines for additional indicators/charts including raising Service Request (SR) for data extractions.
Requirements:
- Minimum one (1) year 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.
- 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).
