Data analytics is one of the hot trends in the job industry today; especially, with digital marketing jobs. So, if you too are planning a career as a data analyst and preparing for data analyst interview, you need to first understand it’s nuances.
Whenever you perform any kind of task online, such as liking a Facebook page, retweeting a tweet, or buying a product, you are contributing to generate data.
A whopping 2.5 quintillion bytes of data is generated* every day. So what do we do with it? Here is where data analysis comes in force!
A data analyst simply analyzes, interprets, and presents data on a specific topic or trend. They mine the data, clean and analyze it. Afterward, they pinpoint on the trends or any other findings.
In today’s time, a data analyst is a hot job. But one of the most difficult aspects of grabbing a similar job is to crack data analyst interview. You have to prove that you not only like but love data and all things about it.
Here are a few tips to nailing data analyst interview:
- Explain why you want to work with data
Data is big and huge in number. The first question that will arise while you give a job interview is why exactly do you want to work with data? You need to explain how you’re passionate about the data and how analyzing trends and new findings attracts you. Answer this question by explaining how you started working on data and how you’re a great problem solver who loves to unjumble the mystery.
- Software knowledge
One of the biggest parts of being a data analyst is to learn various data mining and data cleaning software. You need to convince the interviewer that you have the required hard skills for the job.
Not only data, but you also need to learn a few graphic designing software too.
While answering this question, try to name the software that you know and also name the software that the company wants the candidate to learn and have advertised in the job description.
- Career goals
Any company prefers candidates who have at least a slight clarity on what the future holds for them and where they want to go.
Before going for the job interview, make sure you write down your career goals aligning with the company’s vision. Do not answer about your personal life, but take this as a chance to tell how you would love to grow with the company in the coming years.
- Ready to answer behavioral questions
Your interview success depends on how quickly you interpret the data and make a plan to reach the outcomes. It is likely that the interviewer will ask you a question; like, how many people eat junk food on weekends?
Be ready to answer how you will find the data, the sources of data, how you will communicate with it and find the answer. This question also analyzes whether you are fit to take on a sudden outburst of data or not.
- Remain confident and calm
Does this even need an explanation? Data analysis is a huge space with various jobs and opportunities. Similarly, there are a number of candidates pitching for the similar job. It is imperative that you remain confident during the interview.
As the terminologies used are very technical, it is likely that you may get confused and feel lost. Stay calm and composed and answer the best you know.
- Prepare
This is the most given out job interview tip to date. Until and unless you prepare for the data analyst interview, you will not be able to crack it with conviction.
Prepare in front of the mirror, test your basic domain knowledge and, access your body posture and facial expressions.
You can take help of a friend or use tools like Mock AI which helps you to evaluate your interview skills with real-time questions and data, and provide you with personalized resources and tips to improve.
Cracking a data analyst interview is not really tough. If you are clear with your basics and foundations, have a good hold on the subject, and market yourself as a pleasing and competent candidate, you can easily land the job. Make sure to work on your body language, how you carry and present yourself, and of course, have an excellent hold on data analysis trends and updates.
*source: Data report
