Data Analyst, Office of Campus Infrastructure and Services

Responsibilities

• Data Analysis and Reporting: Analyze data within OCIS and the University, maintenance schedules, and operational costs to provide actionable insights that enhance efficiency and performance.
• 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.

Qualifications

• Bachelor's degree in Data Science, Statistics Computer Science, IT or related discipline.
• Minimum of 3 years 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 and 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.
• Understanding 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.