The Senior Data Analyst will build Power BI dashboards, design data models, perform data analysis, and collaborate with stakeholders to gather insights.
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Responsibilities:
- Build and enhance Power BI dashboards, enterprise semantic models, and Power BI dataflows
- Design efficient data models (star schema, DAX measures, relationships, hierarchies) for high-performance reporting
- Develop reusable, scalable semantic models that support self-service BI across multiple business functions
- Create and maintain Power BI data-flows for cloud-based data extraction, transformation, and preparation
- Monitor and optimize Microsoft Power BI Fabric capacity usage to ensure efficient resource consumption, refresh scheduling, and performance stability
- Collaborate with business stakeholders to gather requirements and translate them into analytical insights
- Perform data cleaning, transformation, validation, and ensure high data accuracy
- Conduct deep-dive analysis on retail, e-commerce, product, sales, and customer data
- Optimize DAX performance, refresh pipelines, and dashboard usability
- Support KPI standardization, data dictionaries, and BI governance frameworks
- Work closely with Data Engineering and IT to troubleshoot data issues and improve data pipelines
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
- Advance-level Power BI skills, including: Advanced DAX , Power Query (M) , Data modeling (star schema design, model optimization) , Power BI semantic model development , Power BI dataflow creation & management , Microsoft Power BI Fabric capacity monitoring & optimization
- 3+ years of experience in data analysis or BI roles (fresh graduates with strong Power BI portfolios are welcome)
- Strong analytical and problem-solving skills with excellent attention to detail
- Experience in retail or e-commerce is advantageous
- Good communication skills and ability to translate data into clear business insights
- SQL knowledge preferred
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Top Skills
Dax
Power BI
Power Query
SQL
CHARLES & KEITH Group Singapore Office
CHARLES & KEITH GROUP Headquarters, Singapore, 534101
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