Today, the IT industry faces some disruptive and game-changing innovations such as Cloud data centers, the Internet of Things, and Big Data. The amount of online data is constantly growing. Every day users upload 2.3 trillion gigabytes of data to the network. By 2017, it’s expected that the amount of data uploaded will grow by 800%. The more data, the higher the demand will be for specialists who can handle it.
Data science is developing so rapidly that every specialist has their own field of responsibility. Check-out the following blog post which contains some new data roles and the responsibilities that come along with these roles within many, if not all of the next generation data projects that are coming our way.
A Data Trader works with alternative data sources and introduces market providers of data to market consumers of data. He identifies potentially undervalued data, price and quality differences in alternative data sources, and then tries to leverage these differences in order to monetize their valuable role in keeping the data market healthy.
A Data Trader analyzes data instruments on the instructions of a client. He also evaluates and predicts trends, and may purchase data that could be delivered at a later date.
The job of a Data Hound is essential to the work of the Data Trader. Once the Data Trader has made a prediction, the Data Hound starts working. He is charged with searching out the best, cheapest and most reliable data source, and identifying the owners and vendors of that data. Essentially, the Data Hound assists with the data market-making responsibilities of the Data Trader.
Only a Data Hound can bring enthusiasm to a long walk on the data landscape. He should be nice and patient and have a tremendous power of persuasion. He is a person who can dispel all doubts about working with a new data portal.
This specialist designs, builds and maintains the data infrastructure. The Data Plumber is charged with ensuring the correct receipt of the required data by a data consumer from a data provider.
His typical responsibilities may include: knowing the specifications of some information repositories and knowledge bases, detecting faults in these systems and diagnosing their causes, locating and marking positions for data adapters, ports and channels, supporting the data centers.
A Data Chef is a curator of all the organizations’ data analytics teams. Ideally, the Data Chef has a good knowledge of formal statistical methods and a solid appreciation of data architecture. This may be also added to by a wide range of other skills.
The Data Chef works in conjunction with the Data Trader and the Data Butcher to determine and identify the primary data material in the data markets. Based on the available data, the Data Chef is able to determine the needed approaches of data analysis, even if the data is changing dynamically all the time.
A Data Butcher works together with the Data Chef. He selects and prepares the desired parts of the supplied data which then passes to the Data Chef for data mining and analysis. The Data Butcher separates interesting data from the useless data. So he provides quality and well-structured data that can be analyzed. We can say that the Data Butcher is a special kind of data architect.
With no doubt, this is one of the most difficult and stressful roles. The Data Miner is always busy with logical and physical researches. He detects and extracts the most difficult parts of data with the highest informational value. Most of all, this data is deeply buried, so his task is to get it up to the surface. This data has a high efficiency, so it can be used for a long time. That’s why such roles will always be highly demanded in the data world.
The Data Taster is a person who takes (tastes) the data to be provided to a person, in order to confirm that it’s safe to issue. This is perhaps one of the oldest professions in data.
The Data Taster verifies and confirms that the data is safe and that the models used are valid. He may also be accountable for the preparation and provision of data. Such specialist should be very scrupulous, as malicious data at the output may affect his own reputation and the organization in general.
A Data Server is a role that is closely tied to the roles of the Data Whisperer and Data Czar. The Data Server presents a data menu and takes the data orders. He may also advise data clients on the optimal choices of data, based on the data that is available and the data preferences of other clients.
This role is extremely important within an organization. The Data Whisperer is an explainer, a storyteller, and a philosopher. The responsibility of the Data Whisperer is to correctly socialize data analysis outcomes with the audience and to jointly present and explain those outcomes in plain language. He should have a high degree of empathy both to the data and also with the consumers of the data.
Typically this role is comparable to CFO or similar. The Data Czar should be aware of all the nomenclature values and management activities within the organization. He has the ability to break down barriers, cut through red tape, and achieve the best results for his team. Naturally, the Data Czar can also call on the skills, talents, knowledge and experience of the data roles described in this post.