Main Duties and Responsibilities

IS Administration of PowerBI Workspace

• Track the monitoring alerts, investigate the issue, and raise an incident if appropriate.
• Notify the Support Supervisor of incidents, user impact and estimated time to resolve.
• Ensure data workspace governance including row-level security.

Data Development and Management

• Develop and maintain BI solutions within Microsoft Fabric, using Data Lake, Dataverse, and Pipelines.
• Build and optimize Dataflows and manage semantic models, integrate data from multiple sources using Power Query, SQL, and Python within the Fabric ecosystem.
• Utilize Git for source control and Azure DevOps for deployment pipelines and version tracking of Power BI and Fabric artifacts.

Data Analysis & Power BI Reporting

• Translate business requirements and maintainable technical specifications.
• Create and maintain dashboards and reports in Power BI.
• Ensure performance optimization and effective user experience in reports and datasets.

Data Quality

• Clean and validate data to ensure accuracy, completeness, and reliability.
• Document and maintain data definitions, metrics, and business logic across datasets.

Collaboration

• Work alongside teams within the business or management to establish business needs and define new data collection and analysis processes.
• Provide training and guidance to business users on data access and report usage.

Benefit

• Provident Fund
• Yearly Performance Bonus
• Diligence Allowance
• Annual leave starts at 12 days. 15 day after 1 year.
• Public holiday standard at 17 days
• Group Insurance (Life insurance & Health insurance)
• Laptops provide
• Moral support such as marriage, Funeral
• Emergency Loan without interest
• Company outing trip

Qualifications

• Bachelor’s degree in computer science, Data Science, Mathematics
• 3+ years as a data analyst or similar role
• Can Work and Communicate Well in English, spoken and written.
• Experience in a construction-related business is ideal.
• Experience in an international company within mid-to-large enterprise environments is a plus.

ITS skills:

• Quantitative Analysis: A strong foundation in statistical methods, probability, and mathematical modeling is crucial. You should be comfortable working with large datasets and performing predictive analytics.
• Technical Proficiency: Knowledge of programming languages like SQL, Python, or R, and familiarity with data visualization tools such as Microsoft Fabric ecosystem, including Power BI, Lakehouse, Pipelines, and Dataflows Gen2 is necessary.
• You should also understand database management and be adept at using spreadsheets or specialized software.
• Power Query and DAX: Proficiency in using Power Query and writing expressions using Data Analysis Expressions (DAX) is important for manipulating and analyzing data within PowerBI.
• Data Quality Assessment: You need to know how to assess data quality and understand data security, including row-level security and data sensitivity.

Other technical skills:

• Communication Skills: Excellent verbal and written communication skills are essential for explaining complex data insights in a clear and understandable manner.
• Problem-Solving Skills: Strong analytical and problem solving skills will help you tackle the challenges that come with interpreting data and turning it into actionable insights.
• Interpersonal Skills: As you will be working closely with business teams, good customer service and interpersonal skills are important for collaboration and understanding of business needs.