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Business data analyst

"The 'new black gold'—the fuel of the digital economy—data has become a source of wealth for companies that know how to process and leverage it."

The business data analyst is responsible for determining how a company can leverage this data; they extract key metrics to improve the company’s overall strategy, operational processes, customer relations, marketing, and more…

Data refers to all digital information (both internal and external). Today, it is essential for artificial intelligence, strategic business management, and the development of a company’s offerings.

Overview and Responsibilities of a Business Data Analyst

The business data analyst or business data manager acts as an interpreter of a company’s internal and external data. They know how to segment and interpret this data to provide clear insights to decision-makers. They bridge the gap between technical roles (data scientist, data engineer, data analyst, etc.), who are responsible for cleaning and processing data, and strategic roles (HR Director, CFO, Marketing Director, CEO), for whom they seek solutions through data interpretation. They build bridges between these two worlds.

The business data analyst gathers strategic input from senior management, identifies the needs of operational departments, and assesses both internal and external constraints. They analyze digital data in all its forms and from various perspectives to propose areas for consideration.

He analyzes the information he deems relevant to improve performance. He summarizes his findings and presents them in a way that is clear to all employees. The precision of his work enables him to accurately assess the market situation (identify purchasing and consumption trends and thus refine his target profiles) as well as anticipate future developments.

In practical terms, these results will lead to new, more targeted marketing campaigns, product and service launches, solutions to challenges, and a new positioning… These changes also impact all internal operations: recruitment, management and finance, R&D…

Business data analyst

Business implications

Business data analysis is intrinsically linked to commercial, financial, and strategic considerations. It is essential for a company’s growth today. This discipline enables the identification of the best recommendations based on internal and external contexts.

Business data analysts can be found in a variety of industries, including pharmaceutical companies, banks, insurance firms, e-commerce, public organizations, the automotive industry, the food industry, recruitment, transportation, and the aerospace industry…

Business data analyst
Ethical implications
Ethics is intrinsically linked to big data. Compliance with the law, transparency, human oversight, freedom, equality, and neutrality are recurring themes in data work. Data and AI legal specialists and ethics officers play essential support roles in assisting business data analysts in their day-to-day work.
Aivancity's programs incorporate all aspects of artificial intelligence and its challenges, whether technical, technological, commercial, ethical, or legal, into their teaching. These comprehensive, hybrid courses enable future engineers to acquire the highest level of knowledge and a broad range of expertise.

Key skills

A business data analyst possesses a wide range of knowledge and skills. It is not uncommon for them to have held operational management roles or to have studied these disciplines in addition to their technical background.

Conversely, they may also have attended a business school and subsequently specialized in business data analysis. Strong industry knowledge is absolutely essential for this role. Business data analysts tailor their analyses to the strategic, economic, and marketing challenges they are familiar with. They have a broad yet precise understanding of the market and their company. Their role lies at the intersection of analytical mathematics, computer science, and business.

His analytical skills and curiosity are the driving force behind his career path. His teaching skills make his conclusions easy to understand. He is adept at regularly engaging with a variety of stakeholders. His adaptability and excellent interpersonal skills enable him to collaborate effectively with technical experts, support functions, and senior management.

He is proficient in business intelligence statistical tools (such as NetSuite, Power BI, Logi Analytics, Tableau, etc.) and analytical tools (SAS, SQL, VBA, Access, R), as well as databases (data warehouses). As an expert in project management, he is capable of handling multiple projects simultaneously. Meticulous, he always goes above and beyond his research to predict market behavior, for example. He naturally stays on top of all data and AI-related topics.

Trends and factors driving change

His diverse skill set makes him a rare and highly sought-after candidate among recruiters. He works for a company, at a startup specializing in big data, or as a freelancer. Eventually, he may become a data manager or head of data.

With their unique and multifaceted profile, business data analysts demonstrate the power of data. Their insights are essential to strategic decision-making and a company’s growth.