Manager, Data Analytics

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Nanyang Technological University (NTU Singapore) is seeking a hands-on analytics professional to independently deliver BI, analytics, and AI solutions across the student life cycle. The role sits within the Digital Innovations Team (DIT) and reports to the Student and Academic Services Department (SASD), partnering with schools, colleges and institutes to improve staff efficiency and student experience.

The successful candidate will lead end‑to‑end analytics projects, develop dashboards using

Qualifications

• Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related discipline, or equivalent relevant experience.
• Typically 5–8 years of relevant professional experience in data analytics, business intelligence, data science, or related areas, with demonstrated ability to independently own and deliver projects.
• Strong proficiency in SQL and Python, with hands‑on experience in data analysis and data science using libraries such as pandas, NumPy, and scikit‑learn.
• Hands‑on experience developing dashboards and analytical solutions using tools such as Power BI, Qlik Sense, Tableau, or similar BI platforms.
• Strong data analysis and problem‑solving skills, with the ability to identify meaningful trends and translate findings into practical business recommendations.
• Experience with forecasting, predictive analytics, recommendation, or other applied data science use cases, with the ability to apply appropriate techniques to practical business problems.
• Practical exposure to Generative AI applications, such as RAG, AI‑enabled workflows, or AI agents; familiarity with agent development frameworks or platforms such as LangChain/LangGraph, Microsoft Agent Framework, or Google ADK would be an advantage.
• Experience working with cloud‑based data, analytics, or AI platforms; Microsoft Azure experience is preferred.

Responsibilities

• Independently lead data analytics and AI projects from problem definition and data exploration through solution development, evaluation, and implementation.
• Develop and oversee BI dashboards and reporting solutions, including providing hands‑on support for more complex requirements where needed.
• Conduct data analysis and develop decision‑support solutions that translate data into actionable insights; experience with AI‑enabled analytics or analytics agents is an advantage.
• Develop and evaluate AI solutions, including RAG, AI‑enabled workflows, and AI agents, where relevant to business needs.
• Apply data science approaches such as forecasting, predictive analytics, or recommendation to support business decision‑making.
• Collaborate with technical teams to integrate analytics and AI solutions into operational workflows and existing platforms.
• Guide junior team members in dashboard development, data analytics, analytical problem solving, and emerging AI‑enabled analytics approaches.

Skills

SQL

Python

Power BI

Qlik Sense

Tableau

Data analysis

Communication skills

Generative AI

Education

Bachelor's or Master's degree in Data Science/Analytics/CS or related field

Tools

pandas

NumPy

scikit-learn

Microsoft Azure

Job description

The Student and Academic Services Department (SASD) is a dedicated team committed to delivering comprehensive support across the entire student life cycle—from admission and matriculation to graduation and beyond the classroom. SASD works collaboratively with schools, colleges, and autonomous institutes to ensure a seamless and enriching academic journey for all students. This position sits within the Digital Innovations Team (DIT), which develops AI-enabled solutions, automates administrative processes, and delivers data-driven insights to improve staff efficiency and student experience. We are looking for a hands‑on analytics professional who can independently deliver BI, analytics, and applied AI solutions end to end. The role also provides guidance to junior team members and requires strong problem‑solving and communication skills in a cross‑functional environment.

Key Responsibilities

• Independently lead data analytics and AI projects from problem definition and data exploration through solution development, evaluation, and implementation.
• Develop and oversee BI dashboards and reporting solutions, including providing hands‑on support for more complex requirements where needed.
• Conduct data analysis and develop decision‑support solutions that translate data into actionable insights; experience with AI‑enabled analytics or analytics agents is an advantage.
• Develop and evaluate AI solutions, including RAG, AI‑enabled workflows, and AI agents, where relevant to business needs.
• Apply data science approaches such as forecasting, predictive analytics, or recommendation to support business decision‑making.
• Collaborate with technical teams to integrate analytics and AI solutions into operational workflows and existing platforms.
• Guide junior team members in dashboard development, data analytics, analytical problem solving, and emerging AI‑enabled analytics approaches.

Requirements

• Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related discipline, or equivalent relevant experience.
• Typically 5–8 years of relevant professional experience in data analytics, business intelligence, data science, or related areas, with demonstrated ability to independently own and deliver projects.
• Strong proficiency in SQL and Python, with hands‑on experience in data analysis and data science using libraries such as pandas, NumPy, and scikit‑learn.
• Hands‑on experience developing dashboards and analytical solutions using tools such as Power BI, Qlik Sense, Tableau, or similar BI platforms.
• Strong data analysis and problem‑solving skills, with the ability to identify meaningful trends and translate findings into practical business recommendations.
• Experience with forecasting, predictive analytics, recommendation, or other applied data science use cases, with the ability to apply appropriate techniques to practical business problems.
• Practical exposure to Generative AI applications, such as RAG, AI‑enabled workflows, or AI agents, would be preferred; familiarity with agent development frameworks or platforms such as LangChain/LangGraph, Microsoft Agent Framework, or Google ADK would be an advantage.
• Experience working with cloud‑based data, analytics, or AI platforms; Microsoft Azure experience is preferred.
• Strong communication skills with the ability to explain analytical and technical work clearly to non‑technical stakeholders.
• Ability to work independently in a dynamic, cross‑functional environment and provide guidance to junior team members.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU A research‑intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world‑class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive