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
