Manager, Sit Teaching and Learning Academy

7 days ago

Queenstown, Singapore Singapore Institute of Technology Full time

**Job no**: 498640
**Department**: SIT Teaching & Learning Academy
**Contract type**: Contract

We are looking for an educational data analyst to join our team (SIT Teaching & Learning Academy) and help us leverage data to enhance teaching and learning. You will be responsible for collecting, analyzing, and interpreting data from various sources, such as student records, assessments, feedback and learning analytics. This job role creates value from data to enable data-driven decision making within SIT. This job role works in partnership with other business units, and facilitates communication between business and technical teams, and assists business users in solving business problems with data.

**Key Responsibilities**
- Involve in data collection, preparation and cleaning. Prepare the dataset for analysis to ensure accuracy and relevance.
- Use statistical tools and techniques to explore and analyse data, identifying patterns, relationships, and trends.
- Create visual representations of data findings through charts, graphs, and dashboards to provide the data insights.
- Prepare reports and presentations to communicate the insights and findings from the data to stakeholders for data-driven policy formulation and decision-making.
- Maintain data security and confidentiality by adhering to data privacy and protection regulations and SIT data governance policies.
- Collaborate with data insights users (e.g. educators, Program Lead) to understand their data needs and help them make informed decisions based on data insights.

**Job Requirements**
- Possess a good degree in Computer Science, Information Technology, or other relevant degrees.
- Demonstrate proficient use of data analysis and data visualization tools such as Microsoft Power BI and Amazon QuickSight.
- Able to translate complex data into understandable and actionable insights for non-technical audiences.
- Experience in managing large-scale datasets and performing quantitative and qualitative analysis.
- Strong foundation in statistical analysis, with proficiency in software packages such as Python, R, SAS, SPSS and SQL.
- Be service-oriented, good communication and interpersonal skills.
- Good conceptual thinking, planning and organisational skills.
- Strong team player who is proactive, quality-conscious, and results-oriented.
- Easily build rapport with others and is comfortable communicating and discussing ideas with business users.

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