Data Analyst, Office of Campus Infrastructure and Services - Geylang

• Process Automation: Automate data collection and reporting processes and generate insights to support decision-making.
• Dashboard Development and Maintenance: Develop, maintain, and enhance dashboards using data visualization tools like Power BI to provide real-time insights and support data-driven decision-making across the campus.
• Collaboration with internal and external stakeholders: Work closely with teams within OCIS, IT department, and other stakeholders to foster collaboration, break down data silos and provide insights to achieve departmental objectives and goals.
• Administrative Support: Assist the team with administrative tasks such as preparing reports, managing data documentation, coordinating meetings, maintaining records to ensure smooth operations with the team and department.
• Other duties as assigned.

• Bachelor's degree in Data Science, Statistics Computer Science, IT or related discipline.
• Minimum of 3 year in data engineering or relevant IT experience.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools and software (e.g. SQL, Python, R, Excel)
• Proficiency with data visualization tools (e.g. Tableau, Power BI) is essential.
• Understanding of data governance and data quality principles.
• Ability to work with unstructured data and perform text analytics.
• Background in statistics would be useful
• Strong analytical and problem-solving skills
• Excellent communication collaboration abilities.
• Knowledge of database management systems (e.g., MySQL, PostgreSQL).
• Familiarity with machine learning techniques and predictive modeling.
• Ability to translate complex data into clear, actionable insights.
• Experience with data cleaning, preprocessing, and transformation.
• Understanding of statistical analysis and data mining techniques.
• Understand the importance of business context
• Ideally with prior experience in managing real estate, facilities or engineering data.
• Able to articulate data insights aligned with business intent
• Strong attention to detail and ability to manage multiple tasks simultaneously.
• Ability to work independently and as part of a team in a fast-paced environment.
• Results-oriented, with a strong focus on both quality and efficiency.
• Proactive, positive problem-solver with a 'can-do' attitude.

Other Information

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Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.