As a BI analyst, having a solid foundation of technical skills is essential, and these skills may vary depending on the specific BI tools and platforms you use. Common technical skills that can benefit any BI analyst include data extraction, transformation, and loading (ETL); data modeling; data visualization; data analysis; and data governance. To demonstrate your technical proficiency, you can provide examples of how you used different tools and techniques in your previous or current BI projects, as well as how you learned and updated your skills over time. For instance, ETL involves collecting, cleaning, and preparing data from different sources for analysis. Data modeling involves designing and developing data structures and schemas that can support efficient and accurate analysis. Data visualization requires creating and presenting data in graphical forms such as charts, dashboards, or reports using tools like Power BI, Tableau, or Qlik. Data analysis applies various statistical and analytical techniques such as descriptive, predictive, or prescriptive analysis to data using tools like Excel, SQL, R, or Python. Lastly, data governance ensures quality, security, compliance with standards and policies while also documenting and maintaining them.