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Manager of Business Insights

2 weeks ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
About NTU

NTU (Nanyang Technology University Main Office HR) seeks an experienced professional to fill the position of Assistant Manager, Data Analytics and Management. As a key member of our team, you will be responsible for supporting the efficient running of career courses and workshops, as well as conducting data analyses on surveys, skills demand, and related metrics.

Key Responsibilities:
  • Conduct in-depth analysis of pre- and post-course survey data to identify trends and generate actionable insights for enhancing training programs.
  • Assess metrics related to participant engagement, completion rates, and dropout rates to inform decision-making and improve program effectiveness.
  • Perform thorough market research to evaluate industry trends and identify skills gaps, ensuring alignment of courses with current market demands.
  • Develop comprehensive reports and presentations that clearly communicate findings and strategic recommendations to stakeholders.
  • Oversee the collection, storage, and integrity of data related to courses, workshops, and internship outcomes, ensuring reliable and up-to-date information.
  • Maintain data consistency and accuracy across various databases and reporting tools to uphold high standards of data quality.
  • Utilise basic programming skills (e.g., Python, R) to enhance data visualization and develop custom analytics solutions, contributing to improved data understanding.
  • Use data visualisation tools to effectively present insights to non-technical audiences, facilitating informed decision-making.
Requirements:
  • Bachelor's degree in Business Administration, Education, Data Analytics, or a related field.
  • 3-5 years of relevant experience in data management and analytics work, or a related role.
  • Excellent organisational and time-management skills, with the ability to handle multiple tasks and deadlines.
  • Strong interpersonal and communication skills, both written and verbal.
  • Detail oriented and results driven.
  • Pro-active problem solver with a customer centric approach.
  • Demonstrated ability to work collaboratively in a team environment and independently.
  • Familiarity with data analysis tools (e.g., Excel, Tableau, or Power BI) and survey platforms will have added advantage.
  • Familiarity with statistical analysis techniques and software (e.g., SPSS, R, or Python) will have added advantage.