visual_subject: A high-resolution DSLR-style photograph of a woman, 32-year-old Irish business intelligence analyst with fair skin and shoulder-length red hair, seated at a tidy desk in a modern Irish workplace. Wearing a navy blazer over a white blouse, with a notebook and a laptop visible nearby. Bright lighting, soft background, clean and professional atmosphere. Shot with a Canon EOS R5, 50mm lens, f/2.0, ISO 100, shutter speed 1/250s. Stock photography style.
You can expect questions on data modelling, SQL queries, BI tools (like Power BI or Tableau), and scenario-based problem solving. Soft skills and business acumen may also be assessed.
Review SQL queries, data warehousing concepts, and common BI tools. Practise extracting insights from datasets and explaining data visualisations clearly.
Key skills include data analysis, SQL, data visualisation tools, communication, critical thinking, and understanding business operations and KPIs.
Use the STAR method: describe the Situation, your Task, the Actions you took, and the Results. Focus on how your analysis influenced business decisions.
Yes, showing dashboards, reports, or case studies you've built demonstrates your technical and analytical abilities effectively.
Focusing too heavily on technical tools without explaining the business impact of their work. Always connect your analysis to business outcomes.
Showcase a strong understanding of both business processes and technical tools, and demonstrate how you use data to answer real business questions.
Communication, problem-solving, collaboration, and storytelling are all vital for translating data insights into actionable business decisions.
Understanding the industry or department you’re analysing increases your impact and helps you ask the right questions and interpret data accurately.
Ask about the team’s BI tools, challenges they face in data analysis, how success is measured, and how the BI function influences strategic decisions.
