uses data processing technologies for the management and analysis of large volumes of data;

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in very specific technical fields. His role then consists of extracting relevant information that allows organizations or companies to make binding decisions. Thus, the big data specialist:

collects all data from various sources: databases, files, real-time streams;

structures the
cameroon phone datadata to make it usable;


designs machine learning algorithms;

communicates the results of its analyses using clear and concise language;

remains responsible for monitoring information in terms of Big Data technologies.

Data Project Manager
A Data Project Manager leads the design and development of projects related to data analysis. He is therefore responsible for coordinating the teams involved in a project, while ensuring that the objectives are achieved within the allotted time. His responsibilities are:

defining project objectives with a realistic timetable;

establishing a project plan that allows for precise identification of the tasks and resources required;

proposing a realistic budget with monitoring of expenses throughout the implementation of the data analysis project.

As a project manager, the data project manager brings together a team of data scientists, data analysts, data engineers and other relevant experts. He then assigns the various missions to be accomplished, but also monitors the progress of the project. In his role as team leader, the data expert identifies the risks that could affect the project and sets up mitigation plans.

In addition, Data Project Managers have the opportunity to build their professional career in a wide variety of fields of activity. Indeed, they can perfectly evolve in the field of finance with a project such as portfolio optimization, fraud detection, or investment risk assessment. In the health sector, they carry out analyses of medical data, and more specifically statistics, in order to improve patient care, for example. Marketing is an area that also involves the intervention of a data project manager, especially when it involves a customer segmentation mission in order to extract personalized recommendations. Last example, in the public sector, this data specialist analyzes public data in order to optimize the development of public services.