The Associate Solutions Analyst supports the design and implementation of automation, data, and analytics solutions that improve operational efficiency and data-driven decision-making across Nanyang Business School.
Working closely with the Solutions Analyst / Architect and internal stakeholders, the role assists in analysing business processes, preparing data for analytics, developing automation workflows, and supporting the delivery of digital solutions across academic and administrative functions.
This role provides an opportunity for early-career professionals to gain hands-on experience in enterprise data platforms, automation technologies, and analytics within a large and complex organisational environment.
Key Responsibilities
Business Process & Requirements Support
- Assist in documenting business processes and operational workflows across academic and administrative units
- Support the gathering and documentation of business and system requirements
- Prepare process maps, functional documentation, and solution specifications
- Assist in identifying opportunities to improve efficiency through process improvements and automation
Automation & Digital Solutions
- Assist in developing automation scripts, workflows, and data pipelines
- Support the implementation of workflow automation, robotic process automation (RPA), or document processing solutions
- Conduct testing and validation of automation solutions prior to deployment
- Support monitoring and maintenance of deployed automation solutions
Data & Analytics Support
- Assist in extracting, cleaning, and preparing datasets for reporting and analytics
- Write SQL queries to retrieve and transform data from internal systems
- Support the development of dashboards and reports using business intelligence tools (e.g. Power BI)
- Assist in maintaining datasets, data models, and reporting pipelines
Solution Delivery Support
- Support the solution delivery lifecycle including documentation, testing (SIT/UAT), and deployment activities
- Assist with coordination of testing activities with stakeholders
- Maintain user documentation and system guides
- Provide basic support and troubleshooting for implemented solutions
Requirements
Educational Qualifications
- Bachelor’s Degree in Computer Science, Information Systems, Data Science, Software Engineering, Computer Engineering, or a related discipline.
- Entry level candidates are welcome to apply.
Skills & Knowledge
Technical Skills
- Basic proficiency in programming languages such as Python or similar
- Working knowledge of SQL and relational databases
- Familiarity with data analytics and data visualisation tools (e.g. Power BI or similar BI platforms)
- Basic understanding of automation technologies or workflow tools is advantageous
Professional Skills
- Strong analytical and problem-solving abilities
- Good communication and documentation skills
- Ability to work collaboratively with both technical and non-technical stakeholders
- Strong attention to detail and commitment to data accuracy
Personal Attributes
- Curious and proactive learner with an interest in data and technology
- Ability to manage multiple tasks and meet deadlines
- Collaborative team player with a willingness to learn new technologies and tools
- Organised and detail-oriented in approach to work
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU