Emerging from the digital age, the business of data analyst is now present in many sectors: commerce, banking, finance, insurance, marketing, etc. In a world teeming with data, it has indeed become one of the keys to the effectiveness of the company’s decision-making. Do you want to become a data analyst and contribute to the success of the company’s missions? Here are our 5 tips for preparing (and succeeding) your job interview.
- Demonstrate your expertise
The recruiter will first and foremost try to check the strength of your technical knowledge and test your logical sense. Expect a few questions about mathematical and statistical concepts, such as attribution/contribution calculation models or factorial correspondence analysis.
SQL, Command Line, Python or R, you will also have to show a perfect mastery of the languages and tools that you put forward on your CV. Site Centric or data scraping, show that you know how to play with the data whatever the source used, and do not hesitate to insist on your control of the API (connection, data recovery), essential to enrich the expected insights.
- Highlight your creativity
Data science is based on more than good technical mastery. The daily mission of a data scientist is to solve problems or improve the activity of the company. It is essential to demonstrate to the recruiter your ability to connect data and find solutions from various reports and dashboards available. Enhance your knowledge of Data Visualization tools. Maybe you even happened to develop your own tools? Let it know!
- Stay concrete
Create a comparative taxonomy, increase the reach of a digital action – there are so many vaporous terms that will have a very little impact if you do not argue. Enrich your speech with concrete cases illustrating different issues and the strategies and methodologies you have put in place. Make sure you know the cases discussed in detail, from the collection to the analysis of the data, and of course, insist on the concrete benefits – definition of the strategy of launching a new product, leads, CA digital – generated by your actions.
However, only commit to topics that you master 100%, at the risk of losing the credibility gained from your interlocutor: if you are not completely comfortable with deep learning, do not talk about it.
- Do not neglect your vocabulary
As a data analyst, you must be able to create, administer, analyze and present various data to different departments of the company (marketing, communication, sales). Your interlocutors will be multiple, and as an expert, you will have to be able to popularise access to information from the collected data. The Data Analyst business, therefore, includes a strong consulting value. Emphasize this point from the interview by identifying the profile of your interlocutor to adapt the technicality of your speech. If the term “BDD” is widely distributed, the notion of attribution/contribution is less: watch your interlocutor clarify if necessary.
- You are passionate, show it!
Data analysis is a passionate profession. Do not hesitate to insist on the reasons which push you to develop your competences in this trade and to put them at the disposal of the recruiter. If you are keeping an eye on the sector (new methods, tool improvements, various tips), bring it up. But passion must not make rigor disappear, show your ability to be organized in the construction of your argument.
And most importantly, smile and be positive!