Definition: Web Analyst Job Description

What are the missions of the Web Analyst? What training courses to follow to exercise this profession? What are his outlets and his salary? The answers are provided to you by this Web Analyst business sheet.

Web Analyst profession

Track and optimize the traffic of a website, this is the mission of the Web Analyst. Discover the profession in detail: mission, salary, possible training, retraining.

What is a Web Analyst?

Also called Digital Analyst or Tracking Project Manager, the web analyst’s mission is to follow the audience of a website and the results of its various traffic acquisition campaigns: advertisements, social networks, applications. The diversification of distribution channels creates new marketing issues, particularly in the sales attribution models between these different media. Measuring results therefore becomes more complex.

To achieve this, the Web Analyst has multiple skills, technical, statistical and ergonomic. The study of the different measures allows him to follow the trends of the site and find recommendations for improvement. He must measure and analyze performance, return on investment, and verify that the defined objectives have been successfully achieved.

It also edits reports and transmits this data to the various parties involved.

Missions of the Web Analyst

  • Analysis of the business needs of the marketing and sales teams
  • Estimation of the technical feasibility and definition of the tagging plan
  • Configuration and implementation of tracking tools
  • Construction of reporting tools in cooperation with the business lines
  • Performance monitoring via dashboards
  • Recommendations for optimization solutions
  • Proposal of innovations on data management and cross tracking
  • Competitive intelligence in terms of tracking and web analysis technologies
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Qualities to become a Web Analyst

First of all, a web analyst worthy of the name must have a very good knowledge of CRM tools, analysis and measurement of traffic and audience of a site. He must also be able to establish dashboards. Logic and quick wit are essential.

Then, the tools evolving quickly, the web analyst has a strong capacity of adaptation and learning but also and above all, a curiosity for new technologies, trends and consumer habits.

A good knowledge of HTML and CSS languages ​​is essential, as well as a good base in web programming (Javascript, php, MySQL…).

Finally, you have to know how to work in a team.

Training to become a Digital Analyst

This profession is located at the crossroads of several fields, it is difficult to present a particular diploma or training essential to become a web analyst.

Most often, this professional has a master or doctorate with a specialization in statistical mathematics, digital marketing as well as communication and multimedia.

But the job of data analyst or data analyst is also accessible through much shorter, but very comprehensive training.

Many training courses are therefore possible which can be the subject of a university course, in business or engineering school.

Salary of a Web Analyst

The remuneration of the Web Analyst depends on the company that employs him, his place of practice which explains that there are differences in remuneration between agencies and advertisers and his experience. A senior will earn on average $ 3,500 after 3-5 years of experience while more experienced profiles can earn up to $ 60,000.

Opportunities and evolutions of the web analyst

All business sectors are likely to have data analysis needs: commerce, marketing, finance, e-commerce.

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The development of new regulations and changes in web consumption make this profession a profession that has a bright future ahead of it.

Companies have to deal with an increasing amount of data that requires rigorous management.

The main recruiters of web analysts are therefore large financial, commercial, marketing, industrial, medical companies, etc.

The web analyst can evolve to the position of data scientist which differs from the data analyst by the volume of data that he processes but also by the multiplication of the sources from which they come.

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