Senior Executive / Assistant Manager (Data & Digital Tools)

Nanyang Technological University; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Senior Executive / Assistant Manager (Data & Digital Tools) to enhance operational efficiency through data analytics and automation. This role involves designing solutions, developing dashboards, and providing technical support to staff. Ideal candidates will have a relevant degree, 2–5 years of experience, and proficiency in tools like Power BI and Python, along with strong communication skills.

Qualifications

• 2–5 years of relevant experience in analytics, automation, or digital process improvement roles.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills.

Responsibilities

• Develop, maintain, and enhance dashboards and analytics reports.
• Design and implement digital tools and workflow automations.
• Collaborate with colleagues to identify process bottlenecks.

Skills

Data analytics

Automation

Dashboarding

Problem-solving

Communication

Education

Diploma or Bachelor’s degree in Information Systems or related discipline

Tools

Power BI

Python

SharePoint

Excel VBA

Job description

The Senior Executive / Assistant Manager (Data & Digital Tools) plays a key role in enhancing the unit’s operational efficiency through data analytics, automation, and the development of digital tools. The incumbent will design and implement data-driven solutions, dashboards, and workflow automations that improve productivity, streamline processes, and support data-informed decision-making across the unit.

Key Responsibilities:

1. Data Analytics and Dashboarding

• Develop, maintain, and enhance dashboards and analytics reports to support the unit’s operations, strategic planning, and performance monitoring.

• Collect, clean, and analyze data from multiple systems (e.g., enrolment, finance, programme management) to generate actionable insights.

• Present analytical findings in a clear and visually compelling manner to support management decisions.

2. Digital Tooling and Automation

• Design and implement digital tools and workflow automations (e.g., Power Automate, SharePoint tools, scripts) to improve efficiency and reduce manual workload.

• Work closely with the Centre for IT Services (CITS) and relevant stakeholders to ensure integration, data security, and compliance with university systems and standards.

• Develop and maintain scripts and macros (e.g., in Python, VBA, or similar) to streamline reporting and data manipulation tasks.

3. Process Streamlining and Productivity Projects

• Collaborate with colleagues to identify process bottlenecks and propose data-enabled or digital solutions.

• Support the implementation and documentation of process improvements, ensuring sustainability and user adoption.

• Contribute to continuous improvement initiatives and digital transformation projects within the unit.

4. Stakeholder Engagement and Support

• Provide user training, documentation, and technical support to staff members on dashboards, automation tools, and digital workflows.

• Liaise with cross-functional teams such as CITS, Finance, and HR to align tools and reports with institutional requirements.

• Communicate effectively with both technical and non-technical users to translate business needs into workable digital solutions.

Qualifications and Requirements

• A Diploma or Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.

• 2–5 years of relevant experience in analytics, automation, or digital process improvement roles.

• Proficiency in one or more of the following tools or languages:

  • Dashboarding / Visualization: Power BI, Tableau, or equivalent

  • Scripting / Automation: Python, R, Power Automate, Excel VBA, or similar

  • Productivity Tools: SharePoint, Microsoft 365 ecosystem, Google Workspace

• Strong analytical and problem-solving skills, with attention to detail and data accuracy.

• Good understanding of data structures, workflow design, and user-centric digital tools.

• Ability to work independently as well as collaboratively in a fast‑paced, dynamic environment.

• Excellent communication and interpersonal skills to engage stakeholders across different functions.

Desired Attributes

• Proactive and resourceful in identifying opportunities for digital improvement.

• Curious and adaptable, with a growth mindset toward learning new tools and technologies.

• Strong sense of ownership and commitment to operational excellence.

• Demonstrates a strong sense of confidentiality and responsibility when handling sensitive or institutional data.

We regret that only shortlisted candidates will be notified.