Data Analyst, Office of Campus Infrastructure and Services
Salary undisclosed
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- 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.
- 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.
- 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.
- 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.