Veuillez accepter les cookies de Youtube pour afficher la vidéo.

Veuillez accepter les cookies de Vimeo pour afficher la vidéo.

Data Analyst

Definition

The Data Analyst studies large databases in order to extract information to help in decision-making.

In the video game industry, a "Game Data Analyst" analyzes player behavior data to improve the user experience and profitability of the game.

Main tasks

  • Collect and challenge the needs of different stakeholders, and then define the relevant data to collect
  • Coordinate with developers to set up data collection, ensure its integration, update, and availability in the appropriate format
  • Ensure data quality and reliability
  • Design connected tables (dashboards) that allow internal customers to access regularly updated figures, including key performance indicators (KPIs)
  • Conduct ad-hoc analyses on available data to address specific issues
  • Help interpret the data and make recommendations

Required skills

  • Mathematics and statistics

Extracting information from large databases requires statistical analysis of the available data.

A correct interpretation requires good knowledge of statistics, and the ability to identify interpretation biases (selection bias, missing variable bias, distinction between correlation and causation, etc.).

  • Languages for data manipulation

Querying a database usually involves writing queries in SQL.

A good understanding of this language is required to accurately extract the necessary data.

Subsequently, the manipulation of the extracted data is done through dedicated software such as R, Python, Excel, SAS, etc.

  • Data visualization

The Data Analyst is able to create graphs, tables, and data visualizations that communicate complex information clearly and efficiently.
In addition, it is important to master software dedicated to data visualization, such as Tableau Software.

  • Machine learning

Knowledge of artificial intelligence and machine learning is a plus, allowing the Data Analyst to conduct more advanced analyses: user base segmentation, trend prediction, multifactorial analysis, etc.

Soft skills

Here are some of the required qualities for a Data Analyst:

  • Communication and Simplification:

The role of a Data Analyst requires, on the one hand, a good understanding of internal client needs.

On the other hand, they must be able to simplify complex information, often including mathematical concepts. Therefore, communication is a key skill for a data analyst.

  • Analytical Mindset:

A Data Analyst must be able to work with vast, varied, and complex data sets, and extract meaningful insights.

A methodical and organized mind is an asset for this role.

  • Attention to Detail:

Throughout the data collection and analysis process, attention to detail is essential to ensure the quality and accuracy of the data. Any inaccuracies or inconsistencies can lead to incorrect conclusions or inappropriate strategic decisions.

  • Problem-solving:

The Data Analyst can identify the root causes of problems and propose solutions.

  • Adaptability:

The role of a Data Analyst requires the ability to adapt to changes in the video game industry, including new technologies, trends, and player behaviors.

ISART Paris

ISART Paris

Professional jury

ISART Montréal

ISART Montréal

Jury de professionnels

EPIC GAMES | Fortnite

EPIC GAMES | Fortnite

Luis CATALDI | Education Evangelist

Qualifications

How to become a Data Analyst?

ISART offers two programs that lead to a career in Data Analysis, in Nice (France) and Montreal (Canada).

The BBA Game & Creative Management program at ISART in Nice provides students with a solid foundation in marketing, management, data analysis, strategy, project management, entrepreneurship, and more.

Students develop skills in creative and digital project management, including:

  • Knowledge of marketing and sales techniques
  • Using data to create and launch a product
  • Understanding the mechanisms of starting a business
  • Communication, organization, and teamwork

The third year of the program allows for specialization in Sales & Marketing or Game Design & Data.

The Game Data Analyst program at ISART Montreal is open to candidates with experience or training in video games, economics, marketing, and related fields.

The program allows students to develop key skills for the Game Data Analyst profession, including:

  • Identifying needs (defining indicators, designing events, integration, prioritizing features)
  • Studying data provided by the game system to analyze player behavior (data collection, creating scripts in Python, pipeline automation, data transformation, machine learning, predictions, exploratory data analysis)
  • Optimizing the player experience
  • Testing the impact of gameplay mechanics
  • Using statistics to improve game profitability and player experience

Employment Outlook for Game Data Analysts

Employment Trends and Growth Prospects

The video game industry in France has grown from 3,000 employees in 2010 to 20,000 in 2022 (source: National Union of Video Games (SNJV)). However, the industry faces a shortage of professionals trained in data analysis (as well as in monetization techniques and innovative digital marketing strategies).

One indicator of the industry's strong growth is the number of job openings that have been constantly increasing in data management positions (+100%) between 2018 and 2021, thus providing employment opportunities for Game Data Analysts.

Where Can a Data Analyst Work?

A Game Data Analyst can work in a video game development studio or with a publisher. They work collaboratively with the development team to improve the user experience and game performance.

They can also work with the marketing team to understand market trends and help develop effective marketing strategies.

The profession of Data Analyst is also hiring in other industries such as finance, insurance, e-commerce, energy, etc.

Other careers in Data and Publishing that may interest you

Data Project Manager
The Data Project Manager (or Data Project Lead) coordinates and plans the management of complex projects that rely on creating added value from databases.

User Acquisition Manager
The User Acquisition Manager is responsible for generating traffic to an application, game, or website while ensuring profitability.

Brand Manager
The Brand Manager develops, implements, and monitors the marketing strategy for one or more video games or innovative products of a brand throughout the entire lifecycle, from conception to the end of commercialization.

Publishing Manager
In the gaming industry, the Publishing Manager coordinates the strategy for the publication and distribution of a video game to consumers.
They oversee all stages of publishing, from the development phase to the release of the game, while meeting the studio's standards and quality expectations.

Marketing Director
The Marketing Director develops the marketing strategy to increase brand awareness and improve the promotion of the company's products/services.

They plan, implement, and oversee all marketing actions of the company.