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.