We're on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.
Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.
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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