Manager, Data Analytics

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.