Data Analyst

The position will be responsible for areas as designated by the Assistant Manager, Application Development – primarily focusing on analysing and validating data, creating reports and dashboards, performing trend analysis, supporting data integration, leveraging automation, visualisation, and AI-powered analytics tools to deliver actionable insights for strategic decision-making, supporting AI strategy, governance, and roadmap development, along with any other relevant tasks as assigned.

Responsibilities

1) Technical Skills and Knowledge

Act as the interface between IT and stakeholders for new solution implementation and technology adoption:

- Execute data extraction, transformation, and loading (ETL) processes to support analytics initiatives.

- Design and develop interactive dashboards and visualizations using business intelligence (BI) tools.

- Collaborate with business units to deliver data-driven solutions and build insightful data models.

- Conduct statistical analysis and trend forecasting to inform strategic management decisions.

- Investigate, validate, and resolve data-related issues to ensure accuracy and integrity.

- Ensure data compliance with Data Governance, IT Audit, and Security requirements.

- Leverage AI analytics tools and contribute to the planning and execution of AI roadmaps and adoption initiatives across the University.

- Support the development and implementation of AI governance frameworks, policies, and best practices.

2) Policy and Planning

- Assist and support the Assistant Manager, Application Development to implement and ensure compliance with all the policies relating to Information Technology.

3) Documentation

- Develop and maintain various procedural and technical documents in areas such as data analysis.

4) Vendor Relationship Management

- Develop and sustain relationships with application vendors by communicating and conducting regular reviews of status and issues.

5) Report

- Prepare and provide reports on the relevant information as and when needed by the Management.

Requirements

- Bachelor’s degree in Computer Science, IT, or a related field from a recognised institution, with at least three (3) years relevant work experience.

- Master’s degree holder in a relevant discipline can be considered.

- For Bachelor’s holders, at least three (3) years of relevant working experience in any two of the following domains:

data insights, dashboard development, data extraction, data modelling, statistical analysis, data validation, or data governance compliance.

- Familiarity with AI and generative AI tools, including their application in data analysis, automation, decision support, and governance.

- Strong analytical skills to interpret data and extract insights from complex datasets.

- Familiar in designing interactive dashboards and presenting insights through dashboard and visualisation tools.

- Ability to clearly communicate complex data insights to both technical professionals and non-technical audiences.

- Excellent interpersonal skills especially in a cross-cultural situation and demonstrated ability to work effectively in a consultative and team environment.

- Familiar in data query languages such as SQL, Python, or low-code platforms such as Power BI.

- Ability to abstract and build data models for analysis.

- Ability to detect, validate, reconcile, and troubleshoot data issues to maintain accuracy and integrity.

- Knowledge of hypothesis testing, regression analysis, and trend forecasting to support strategic decision-making.

- Ability to interpret and analyse structured data models and work collaboratively with machine learning specialists to enhance predictive insights.

- Agility in High-Performance Environments

Required Skills

Data Science / Machine LearningDatabase (SQL / NoSQL)