NEXT DATA's Business Data Analyst training prepares for a key company role: collecting, interpreting and analysing data to draw actionable insights. It teaches how to spot trends, patterns and correlations with advanced analysis tools, and how to support strategic decisions with clear recommendations.
The Business Data Analyst plays a key role in today’s business environment, where data is at the heart of corporate strategy.
As a central member of the analytics team, their main responsibilities include:
Thanks to their expertise, the Business Data Analyst helps companies to:
By linking raw data to concrete solutions, the Business Data Analyst plays a fundamental role in improving performance and gaining a competitive edge.
Price: on request
Enjoy a comprehensive, flexible course that fits your schedule and your professional needs.
Strengthen your expertise and enhance your profile with three certifications:
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The course comprises 18 days of training, split equally between in-person and remote sessions. The certification module is delivered through e-learning and requires around 150 hours of training, i.e. about two months to complete.
The key skills needed to become a successful business data analyst include proficiency in data analysis tools, an understanding of statistics and analytical methods, data visualisation skills, problem-solving, curiosity and continuous learning, good communication skills, as well as team spirit and collaboration.
A data analyst’s salary can vary depending on several factors such as experience, level of education, geographical location and company size. In France, the salary of a junior Data Analyst generally ranges between 35,000 and 55,000 euros per year. With experience and expertise, a data analyst can expect their salary to rise steadily.
No specific prerequisites are required to enrol in our Business Data Analyst training programme. All candidates with basic computer science knowledge are welcome, whatever their age, role or level of education. Our programme is designed to meet the needs of beginners looking to acquire new skills as well as experienced professionals seeking to specialise.
Business Data Analysts have many job opportunities across a range of industries. They hold positions such as data analyst, business analyst, financial analyst and more. Their role is essential in providing decision-makers with strategic information by analysing data. With the rise of artificial intelligence, new opportunities are opening up to them. In short, they are in high demand on the job market.
At the end of the programme, you will earn several certificates, including the Business Data Analyst certificate from MDS’SUP and a Data Analyst certificate from WES’SUP. An internship in a French company may also be offered to you, depending on available places. These certifications round out your professional profile.

Certificate awarded
Participants who pass the course assessments receive a certificate of achievement in their name.
Harrak is a seasoned data scientist specialising in machine learning models for predictive analytics. An expert in statistical analysis, he identifies trends in large datasets to guide business strategy.
Mohammed is a data scientist and an expert in NLP and deep learning. He combines linguistics and machine learning to extract insights from text data, and is passionate about innovative solutions for language understanding and generation.
Bouazza is a data analyst specialising in Business Intelligence (BI) and reporting. An expert in Tableau and Power BI, she turns complex data into user-friendly visualisations. Sanaa communicates trends effectively, enabling informed decisions for organisational success.
El Mansouri is an experienced data engineer in cloud and DevOps. An expert in AWS and Azure, he designs scalable data solutions. Focused on automation, Karim ensures efficient data delivery in the cloud.
Achraf Imrani is a data analyst specialising in marketing and customer segmentation. An expert in extracting insights, he optimises campaigns for effective customer engagement.
Tabrikt is an experienced data engineer in big data processing and distributed systems. An expert in Apache Hadoop and Spark, Soufiane designs scalable architectures. His key role in building robust data infrastructures meets the varied and complex needs of organisations.
In figures
Figures recorded on ai.nextdata.ma on 13/10/2026.
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