Position: Data Analyst
Location: Singapore
Type of Employment: Full-Time
Compensation: -
Purpose of the Position: The Data Analyst will be responsible for transforming data into actionable insights to support business decision-making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data-driven strategies across the organisation.
Key Result Areas and Activities:
- Extract, clean, and transform data from multiple sources using SQL and Databricks to support analytics and reporting needs.
- Develop and maintain scalable data models and datasets for business intelligence and dashboarding.
- Build interactive dashboards and reports using Tableau and/or Power BI to visualize key metrics, trends, and insights.
- Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.
- Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.
- Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.
- Automate recurring reporting processes and improve efficiency of data workflows.
- Provide actionable insights and recommendations to support operational and strategic decision-making.
- Document data definitions, business rules, and reporting logic for governance and knowledge sharing.
Essential Skills:
- Strong proficiency in SQL for data querying, transformation, and analysis
- Experience working with Databricks or similar data platforms
- Hands-on experience with Tableau and/or Power BI for dashboard development
- Strong analytical and problem-solving skills
- Experience in data cleaning, validation, and data modelling
- Ability to work with large datasets and derive meaningful insights
Desirable Skills :
- Experience with Python (Pandas, PySpark) for data analysis
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Knowledge of ETL/ELT processes and data pipeline concepts
- Experience working in government or regulated environments
- Understanding of data governance and data quality frameworks
Qualities:
- Strong attention to detail and data accuracy
- Good communication skills to translate data insights into business terms
- Proactive and solution-oriented mindset
- Ability to manage multiple stakeholders and priorities
- Collaborative team player with strong ownership of deliverables
