Data Analyst

Job Description

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