Solutions Analyst Architect
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
The Solutions Analyst/Architect will play a key role in driving Nanyang Business Schools digital transformation agenda by designing and implementing automation and data-driven solutions across academic administrative and research-facing business units.
This role sits at the intersection of business and technology working closely with faculty professional staff and central IT teams to improve operational efficiency enhance data transparency and enable next-generation analytics reporting and AI-enabled solutions that support the Schools strategic objectives.
Key Responsibilities:
Business & Solution Analysis
Partner with academic and administrative stakeholders to understand end-to-end processes pain points and data needs across teaching research student services and corporate functions
Translate business requirements into clear functional and technical solution designs
Identify opportunities for automation process optimization and data standardisation across the School
Automation & Intelligent Solutions
Design and implement automation solutions (e.g. workflow automation RPA intelligent document processing) to reduce manual effort and improve turnaround times
Support the adoption of AI-enabled capabilities such as data quality monitoring anomaly detection and intelligent analytics
Work with internal and external teams to ensure scalable secure and sustainable automation solutions
Data & Analytics Enablement
Design and deliver data marts dashboards and analytical datasets to support management reporting accreditation needs and strategic decision-making
Integrate data from multiple internal systems and external sources to enable a single trusted view of information
Support the development of next-generation data products including advanced analytics and self-service BI capabilities
Delivery & Governance
Manage solution delivery lifecycle including requirements definition testing (SIT/UAT) deployment and post-implementation support
Coordinate with vendors central IT and offshore teams where applicable
Ensure adherence to data governance security and compliance standards within the university environment
Requirements:
Educational Qualifications
Bachelors Degree in Computer Science Information Systems Data Science Engineering Economics or a related discipline
Postgraduate qualification in Computing Data Analytics or Artificial Intelligence preferred
Relevant Experience
58 years of relevant experience in solutions analysis data analytics automation or technology consulting
Proven experience delivering data platforms automation or analytics solutions in complex organisations
Experience working in regulated large-scale or knowledge-driven environments (e.g. finance healthcare education public sector) is advantageous
Skills & Knowledge
Technical & Analytical Skills
Strong proficiency in Python for data analysis and automation
Solid experience with SQL and analytical data platforms (e.g. Spark / Databricks relational databases)
Hands-on experience with automation tools (e.g. RPA intelligent document processing workflow automation)
Experience designing dashboards and reports using modern BI tools (e.g. Power BI)
Working knowledge of AI / machine learning concepts and their practical application in analytics and operations
Business & Delivery Skills
Strong ability to bridge business needs and technical solutions
Excellent stakeholder engagement and communication skills
Experience working in agile or hybrid delivery environments
Strong documentation solution design and quality assurance capabilities
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTURequired Experience:
IC
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.
