Data analyst: 3 essential tools to master in 2023

An article published on News explains that the volume of data that we now produce in two days is greater than that generated between the beginning of humanity and the year 2003…!And for good reason, the number of connected devices is constantly growing (more than 10 billion worldwide). You therefore understand all the potential that can arise from the analysis of this data for a company.

Companies allocate large budgets to data analysis to optimize customer experience and boost sales. If you are interested in this profession of the future, this article reveals three tools you need to know to excel as a data analyst.

What is the mission of a data analyst?

The data analyst collects, processes and interprets data in order to solve problems or create opportunities in a company. On the basis of a specific problem (improving after-sales service for example), it will:

  • Target the data to be collected (customer feedback/opinions on products, response time from telephone advisors, etc.).
  • Define what type of analysis or tool to use to study this data.

This profession requires solid computer knowledge, and has similarities with that of an ethical hacker. As shown by CyberGhost, the ethical hacker helps the company that employs him to resolve certain flaws. He acts and thinks like a web hacker, but with the aim of protecting his business from cybercriminal attacks. In particular, he tests the company’s security system to detect flaws and propose solutions.

The 3 essential tools for a data analyst

The data analyst uses tools that are involved in each stage of his work.

Google Sheets

According to an article from JDN, Google Sheets overshadows Excel among data analysts. This online tool allows for simplified data entry into spreadsheets, and incorporates features to further facilitate data analysis and presentation.

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For example, in “Graphics”, it is possible to generate a diagram based on the data collected and entered into the spreadsheet.

Power BI

Data analysts typically use this tool to create visual representations of data that are interactive and easy to interpret.

With Microsoft Power BI, the analyst can create and share dashboards as well as reports with different team members. Because it is cloud-based, Power BI allows data to be stored longer and securely online.


Hubspot is customer relationship management software that the data analyst uses to obtain as much information as possible about the company’s customers. It is the link between marketing, sales, customer service and website management – elements that have customers in common.

In other words, this tool helps the analyst study data related to marketing campaigns, site traffic, and more, with a view to finding the most appropriate solution to the problem at hand.


Jobs related to IT are professions with high recruitment potential. Indeed, faced with changing consumption habits (online purchases, home deliveries, etc.) and the increase in consumer connection time (on average 2h18 per day), companies are increasingly recruiting technologically advanced profiles. qualified. The aim of this approach is to anticipate needs, respond effectively to customer requests and enrich the offering of products and services. Moreover, the strong demand for data analyst and data scientist profiles increased the unit salary cost by 40% between 2010 and 2019, according to figures from INSEE.

To effectively meet today’s needs, many companies also encourage enrollment in specialized bootcamps, offering in-depth training in in-depth training in data analysis to quickly train competent professionals in this crucial sector.