Data Analyst

Summary

• Interpret data to provide actionable insights for decision-making.
• Design and create data reports using statistical software, visualisation tools, and other data analysis techniques.
• Collaborate with cross-functional teams to understand data needs and provide analytical solutions.
• Cleanse and validate data to ensure accuracy, completeness, and uniformity.
• Stay updated with the latest trends and techniques in data analysis and visualisation.

Key Skills

1. Proficiency in data analytics tools such as SQL, R, or Python.
2. Experience with data visualisation tools like Tableau, Power BI, or QlikView.
3. Strong statistical analysis skills.
4. Ability to translate complex data into comprehensible insights.
5. Experience in data preprocessing, including data cleaning and transformation.

Standard Industry Training

• Microsoft Certified: Data Analyst Associate (Power BI)
• Tableau Desktop Specialist or Certified Associate

Interview Questions for Data Analysts

1. Describe a situation where your analysis significantly influenced a business decision. What was the impact?
2. How do you handle missing or incomplete data in your datasets?
3. What steps do you take to ensure that your analysis is unbiased and objective?
4. Describe your process for analysing a new dataset. How do you start and what do you look for?
5. How do you prioritise and manage multiple analysis projects with tight deadlines?