Data Analyst, Office of Campus Infrastructure and Services

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Management and Analytics:
• Collect, clean and transform data from multiple internal and external sources, including APIs, space and booking management systems and smart meters.
• Build interactive and user-friendly dashboards, reports and data models to support business decision-making.
• Gather business requirements from different functional teams and translate them into suitable data requirements.
• Ensure data quality, consistency and governance across the organization.
• Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence business decisions.
• Generate actionable insights through advanced analytics performed on diverse data gathered from large longitudinal cohorts, continuous sensors, and combined datasets.
• Develop compelling data-driven narratives for impactful storytelling to both internal and external stakeholders.
• Maintain library of OCIS data, reviewing sources of data, and recommend improvements to data sources and collection.
• Ensure data integrity and establish standardized reporting processes.
• Integrate OCIS data with broader university analytics to inform decision-making.
• Dashboard Optimisation:
• Conduct usability audit on existing dashboards.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Optimize layout for clarity and user experience.
• Develop predictive models to forecast resource needs eg based on faculty expansion, student enrolment, and operational changes.
• Champion Experimentation:
• Design, implement, and analyse A/B tests and multivariate experiments to drive continuous improvement.
• Stay updated with the latest management technologies and automation tools.
• Propose, implement, and optimize technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.
• Stakeholder Engagement & Collaboration:
• Develop clear documentation of metric definitions and logic to ensure alignment across teams. Eg user Manuals and guidelines for stakeholders.
• Engage regularly with cross-functional stakeholders to understand their workflows, pain points, and evolving data needs.
• Translate business questions into actionable metrics and analytical solutions to support procurement and FMS operations.
• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Provide user training and develop user guide and documentation.
• Automate manual processes and create efficient digital workflows.
• Support Environmental Sustainability in the Workplace:
• Collaborate with other teams on Sustainability related data and functions.
• Ensure alignment and accuracy of OCIS-provided data for organization-wide Sustainability reports.
• Participate in relevant meetings to understand stakeholder needs.
• Develop visuals that support communication and decision-making during Sustainability related meetings and reviews.
• Other duties as assigned.

QUALIFICATIONS

• Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Business Analytics, Statistics or any related quantitative discipline/field.
• Other disciplines can be supplemented with additional qualifications and prior experience in Data Science / Data Analytics.
• 3 to 5 years of experience in Data Analytics, Business Intelligence, Data Engineering or relevant quantitative experience in the Real Estate / Facilities industry.
• Proficiency in data cleaning, analytics & visualisation tools (Power BI, Tableau, SQL).
• Good understanding of AI-driven scheduling and IoT-based tracking for real-time space monitoring.
• Strong proficiency in Excel and hands-on experience with querying and manipulating large, complex datasets with tools e.g. SQL, Python.
• Strong proficiency in statistical analysis and data mining techniques.
• Strong proficiency in Python (or R) for advanced statistical analysis, data modelling, and automation (e.g., pandas, numpy, scikit-learn).
• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective and clear dashboards.
• Experience using dataflowgen 2/ Microsoft fabric.
• Experience writing PowerBI DAX function.
• Experience designing interactive and user-friendly dashboards with UI principles.
• Familiar with machine learning techniques and predictive modelling.
• Strong analytical mindset and problem-solving abilities.
• Strong stakeholder management (technical and non-technical) and communication skills.
• Willingness to challenge the status-quo and motivate the team to foster the data-driven culture.
• Proven experience in data analysis, reporting, and solution development within the real estate / infrastructure / Utilities industry.
• Familiar with resource and booking management systems.
• Familiar with Al tools, chatbot development, or workflow automation is a plus.
• Good understanding of space planning and facilities management principles and techniques to optimize the use of resources while adhering to regulatory compliance.
• Strong writing and presentation capabilities.
• Experience in space management software (Planon, AutoCAD).
• Knowledge and experience in data governance, data security, and privacy practices.