Data Architect, Researcher and Web Analyst. The professional profiles of big data that are most in demand by companies are beyond the scope of digital marketing. When digital becomes the core of a business, we explain why it is important to have the strategic roles of a data architect, researcher, and web analyst.
What are the professional profiles associated with the analysis of the most requested data by the company, why are they so in demand? What skills should they have? Before the arrival of Big Data, we could upload structured information that we saved to our company's CRM or ERP. Now we have additional information that is outside the domain of companies.
For Miguel Ángel Blanco Cedrun, dean of a Spanish business school, “this type of unstructured information is growing very quickly and is useful for us, we need very high computing power. It is estimated that the data forecast for Big Data will be multiplied by almost three at the end of this year. Of the 3.1 Zettabytes that were registered in 2013, up to 8.6 Zettabytes in 2018. This could lead to an increase in demand for all profiles in Big Data. ”
Currently we can say that there are three professional profiles related to big data:
1. Data Architect. It is he who creates the structure of programs with the help of which information is collected and processed. Its main goal is to analyze the systems architecture for improvement. Some of the skills that a data architect must have are to focus on detail, problem solving, or simplification. These profiles have experience in computer engineering, mathematics, physics, or telecommunications. Some of the tools you need to manage are Hadoop, MapReduce, Hive, Pig, Spark, Flink, SQL (MySQL, PostgreSQL) and NoSQL (Hive, Couchbase, Redis, ElasticSearch, Solr), advanced knowledge of Java, Scala or Python . or advanced knowledge of data structures, applied data mining and machine learning.
2. Scientists-data (scientist-tributary)The data scientist analyzes, interprets and transmits new trends in this area and translates them into a company so that they can use them and thus adapt their products and services and create new business opportunities. He is responsible for translating information so that analysts can make decisions. The data profile of a scientist requires statistical knowledge, which the programmer does not normally have, and computer knowledge, which usually does not use statistics. Within this profile, we distinguish between professionals who are focused on the field of mathematics and statistics, and those who come from the field of artificial intelligence and machine learning. This profile should combine the knowledge of mathematics, statistics and programming, as well as know the sector of the company for which it works, as well as be a good communicator for transmitting data that it interprets.
3. Data Analytics is one of the professional profiles most demanded by companies today. He is responsible for processing information and obtaining opinions that help improve results. These professionals are those who know how to extract patterns of user behavior and know why they act in some way. And this, after all, is what companies are looking for to know that they cannot improve. Web analytics are not just computer scientists, mathematicians, or statisticians, but many of them come from careers such as advertising, journalism, business, marketing, or writing letters. Currently, all sectors need analysts who can interpret data and have a business perspective. In this profile, you need knowledge of both specific tools and business.