Technical Tools and Competency Questions

Assess the candidates practical experience with business intelligence and operational tools, their depth of proficiency, and their ability to learn and apply new systems. Topics to cover include which business intelligence platforms they have used such as Power BI, Tableau, and Looker, the duration and level of hands on experience with each, specific projects where they built dashboards or reports, and the candidates role in data modeling and visualization. Also include familiarity with general operational tools such as spreadsheet software, analytics platforms, project management systems, human resources information systems, and other domain specific software. Candidates should be ready to explain tool selection, how they integrated data sources, any involvement in implementation or configuration, examples of key metrics and dashboards they built, and how they troubleshoot or improve existing reports. For junior level candidates, emphasize practical skills such as creating dashboards, designing reports, basic data modeling, cleaning and preparing data, and demonstrating learning agility for company specific systems. For mid and senior levels, assess deeper topics such as automating extract transform load processes, optimizing data models, writing structured query language queries or scripts for data transformation, governance and sharing practices, and mentoring others on tool usage.