Senior Administrator (Data Analyst), Business Development Office

The successful candidate will be required to:

Data Analytics and Research 

• Develop plans for decision-making to improve efficiency across campus, enhance student experiences, and manage risks.
• Conduct economic and market research relating to student housing, commercial facilities, food services, and utilities.
• Identify trends and opportunities for growth through analysis of complex datasets.
• Proactively analyze data to answer key questions, identifying areas needing improvement in efficiency, productivity, and profitability.

Data Management 

• Develop, implement, and maintain advanced analytics systems, simplifying complex problems into actionable frameworks.
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
• Develop and maintain databases by acquiring data from primary and secondary sources, building scripts to improve flexibility and scalability.
• Evaluate internal systems for inefficiencies, problems, and inaccuracies, and develop protocols for handling, processing, and cleaning data.

Collaboration and Reporting 

• Create and maintain rich, interactive visualizations and best-practice reports based on data mining, analysis, and visualization.
• Prepare analysis and recommendations to support decision-making in the Business Development Office.
• Work directly with departments to gather requirements, provide status updates, and foster collaborative relationships.
• Represent the department at meetings and discussions as assigned.

Project Management 

• Manage technical and data analysis for strategic projects, ensuring alignment with departmental goals.
• Assess analytics needs of departmental projects, define KPIs, and deliver insights to decision-makers.
• Oversee special projects and cross-departmental collaboration, maintaining timelines and providing regular updates.

Essential Qualifications and Experience:

• Master’s degree in Data Science, Economics, or Statistics
• Experience with database and model design and segmentation techniques
• Strong programming experience with frameworks, including XML, JavaScript, and ETL
• Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
• Proven success in a collaborative, team-oriented environment
• Proficiency in MS Office (MS Excel and MS PowerPoint, in particular)
• Excellent time management skills and the ability to prioritize work
• Attention to detail and problem-solving skills
• Excellent written and verbal communication skills
• Strong organizational skills with the ability to multi-task
• Results and team oriented

Abilities, Skills and Attributes

• Three or more years of experience mining data as a data analyst
• Proven analytics skills, including mining, evaluation, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills, with aptitude for learning other analytics tools 

The University thanks all applicants. However, due to the volume of applications, only shortlisted candidates will be contacted