During an interview for a data role, the interviewer will ask questions spanning a wide range of topics, requiring both strong technical knowledge and solid communication skills from the interviewee.
Your statistics, programming, and data modelling skills will be put to the test through a variety of questions and question styles that are intentionally designed to keep you on your feet and force you to demonstrate how you operate under pressure.
Preparation is the key to success and the interview is a vital element to guaranteed triumph.
We’ve collected 5 questions to consider for your data interview and how to approach them.
Your interviewee needs to know about your experience, what domains you’ve worked on, you’ll want to highlight a variety in your skills, that you’ve worked on different domains.
It’s vital during your interview to highlight the range across your experiences, to broaden your strength.
This question, although wide-ranging – is a subject matter employers are often keen to hear about. Although there may not necessarily be a right or wrong answer, it is often down to interpretation. It’s advisable to have a clear idea and general definition of the term, and then adapt to suit the company in an interview.
Start your answer with something fundamental, “big data analysis involves the collection and organization of data, and the ability to discover correlations between the data that provide revelations or insights that are actionable.” Then to follow, create a picture for your definition with example scenarios.
Before the interview, do your homework on the analytics environment the company uses. Think about your skills and competencies and align them with the needs of the company. How well the interviewer feels your skills match, will determine your success within the interview.
The Muse also suggest to include some key example of projects you’ve worked on. To highlight the high-level important work that supports your experience.
As with any interview, people like to see whether you can identify personal weaknesses, or admit to previous struggles. We suggest for you to be honest, and highlight you have encountered problems, but at the same time reiterate your solutions. An employer wants to hire an employee with a solution, a problem solver, they want to understand what was achieved and the role you played to achieve that.
Do your research, you need to highlight to the potential employer that you’ve researched their company and you want to be part of it. Within your answers you should emphasise your knowledge, and at the same time your fit within the teams and company culture itself.
These 5 questions are just a starting point to the interview, but a starting point is something to progress from. If you’ve been through the interview process for a job in data either as a candidate or as an interviewer, what would you add to the list?
The Source Team of experts are looking for the best Data talent out there, we’re working with a range of companies with different Data needs across DACH, Benelux, UK, Nordics and USA. So, if you’re a specialist thinking about a new opportunity, reach out to the team.
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