Data Analysts play a vital role in helping organisations to grow and improve themselves. Whether this means scaling up, streamlining processes or expanding into new markets, a Data Analyst can provide the expertise needed to make an informed decision on any big changes. They’ll work closely with C-Levels and developers to help capture data and create reports.
When interviewing a Data Analyst, you should be looking for the following skills:
- Highly skilled in data capturing and analytics.
- Incredible communication skills.
- Proven experience creating and presenting reports.
- Using data to create actionable insights.
- Ability to work with data visualisation tools.
- Fluency in Python and other scripting languages.
- High level of problem-solving skills.
- Ability to guide a team.
Interviewing a Data Analyst
A Data Analyst has the know-how to ensure each decision you make is in the best interest of your business. Therefore, getting the first conversation with them right is essential. Along with preparing analytical questions for your interviews, it’s important to assess their confidence in presenting their findings.
To help you make that decision, we’ve put together these guide interview questions for a Data Analyst. Keep in mind, though, that these questions are to be used early in the interview process to help you decide if the candidate is a good fit for the role or not ASAP.
How to open the job interview
Even more senior roles are bound to feel nerves in the early interview stages. That’s why it is important, as the interviewer, to put your candidate at ease before jumping into the deeper stages of the interview.
Before firing off the data analytics interview questions, why not try out some lighter openers? That way, you’ll put the candidate at ease and will be able to assess their personality and talents more honestly.