7 Big Talent Jobs Created by Big Data
Given the abundance of digital data produced around the world, it is becoming essential for companies that intend to take full advantage of the added value of Big Data to recruit new talent to improve their productivity.
Big Data analytics jobs require rare profiles that are endowed with diplomas from different backgrounds, and a Big Data professional will have the mission of extracting information from unstructured data, transforming them into actions and operations beneficial to the company.
Companies with Big Data will have to recruit distinct profiles by having a good knowledge of the courses and diplomas served by the different schools and universities. But what are these trades?
Chief Data Officer (CDO)
CDO is the Director of Data, the guardian of ethics. CDO is also the head of a team specialized in the acquisition, analysis and exploitation of data. Its function consists in the governance of the team to supply the most interesting and coherent data for the interest of the company. It organizes the sharing of their analysis with the business departments, and enforces the ethics in the use of this information.
The CDO’s team draws on specialized knowledge in statistics, IT and digital to give each department a benchmark: marketing, human resources, engineering, quality service, accounting and management. A diploma from engineering schools is required, as well as skills and a solid experience in the fields of management, IT and marketing are needed.
Business Intelligence Manager
His/her job is to facilitate CDO’s decision-making. The person will use new technologies to set up dashboards, reporting tools, to integrate them into the computer system and make them accessible to users within the company. This occupation requires a solid knowledge of English, computer science and data management.
Data Scientist
It is responsible for the collection, processing, evaluation and analysis of mass data, in order to optimize the company’s strategy. Its role is to create algorithms for the company’s businesses that produce useful information, in particular in order to offer customers the products they are looking for.
Data Scientist have profiles that combine management, computing and statistical skills. They master the techniques of data mining, as well as the technologies and the computer tools of the databases such as Hadoop, Java, MapReduce, Bigtable, NoSQL …
Data Analyst
It uses statistical techniques and specialized IT tools to organize, synthesize and translate the information that companies need to facilitate decision-making. The specificities of the position lie in the volume of data processed and the mastery of tools specific to Big Data. Its role is to make the data speak and to leave concrete indicators at the service of the general management to exploit them for commercial purposes.
Data Miner
The Data Miner’s role is to find information among multiple data, in order to make it useful and useful for the company. He must have excellent computer, statistical and business skills. It is possible to become a Data Miner from a computer or marketing license. It can evolve as Data Analyst and then Data Scientist over time.
Data Manager
The Data Manager acquires to organize company information for optimal use. It is an expert on basic data that encompasses referential data (linked to supplier catalogs, customers, articles, etc.) and structuring metadata (related to standards and regulatory methods). It must ensure that these data are well-aligned and organized according to the management rules defined and correctly integrated into the information system used by the business teams.
Data Protection Officer
The Data Protection Officer is the guarantor of the protection of personal data in the organization for which it works. This position could become mandatory in all companies with more than 250 employees. The trade therefore includes an important aspect of awareness.
The Data Protection Officer’s function is transverse, and his/her challenge is to be kept informed of all data processing projects in order to make its recommendations upstream. He/she must have computing, legal and communication skills. It is a new digital business that emerges in a context of strong competition where the protection of data and at the heart of the problems undertaken and represents a major stake of the economy.
Big Data specialists are both very rare and in great demand. They are mainly found in large groups in the banking, insurance and finance sectors, or among operators who store and process data such as data centers, Internet service providers and web hosts. But with rapidly evolving data regulations and growing business opportunities, all businesses will be closely and profoundly surrounded by profiles similar to those presented above.
