The analyst in Big Data (or Data Scientist) is already one of the most promising professional profiles of the 21st century. Due to the arrival of digital transformation, business models are changing and now companies demand professionals capable of interpreting and analyzing large amounts of data to improve their performance. At the end of the post you can see the 10 skills you need to know to become a big data analyst. Let’s start
What does a Big Data Analyst?: Job description
Big Data is based on the management and analysis of large volumes of data. The concept encompasses all the infrastructures, technologies and services created to process the large amount of data stored in the digital environment.
To manage this data, business intelligence is applied: the set of methodologies and software tools that allow the collection, analysis and selection of the large volume of data found on the network, and then convert it into useful information. This allows for improved management and decision making and for companies it becomes a business opportunity.
The translation of the data is carried out by the Big Data expert. His profile is usually mathematical and statistical and he masters programming software tools and massive data analysis systems such as machine learning.
Big Data analyst roles and responsibilities
If you work in an organization with a digital presence you will know that companies are constantly behind the user. Therefore, it is essential to have an analyst who interprets the data in order to establish patterns in customer behavior.
Therefore the data analyst is in charge:
- Extracting, processing and grouping data
- Analyze these data groupings
- Generate reports
- Without a doubt, an analyst must develop his mathematical and statistical skills. In this way they are able to carry out a complete analysis of the data extracted. To do this they use tools such as Python.
Within the skills in tools and statistics, elements such as teamwork must also be taken into account. Without a doubt, Big Data must work hand in hand with the Business Intelligence department.
The data analyst is a figure that will be needed in any sector and department. Therefore he must be prepared to present data to any stage within the company. Effective communication must be one of his characteristics, since he will not only deal with the data scientist, but his mission is that all the workers in the company understand the data they are working with.
The data analyst is driven by the intrigue to discover what is behind all the information a company generates. These are capacities that go inside an innovative person who bets on changes. He has one of the most interesting challenges that will arise in the coming years.
Why do companies want Big Data Analysts?
The Big Data is evolving very fast as it has more and more sources and resources from which to extract data. Therefore, companies need specialists who are able to digest data, convert it into information and select which is useful and which is not. Once the Data Scientist has done his work, the company will be able to know and understand the profile, needs and habits of its customers and, based on this, establish the most effective strategies and improve its relationship with them.
Currently, companies find it very difficult to find specialists in Big Data. Demand has grown much faster than supply, so training in this area is now a more than appropriate decision.
What to study to become a Big Data expert?
Until not long ago, most schools that offered specialization programs in Big Data focused mainly on the analytical and technological side, training professionals with mathematical and statistical profiles. However, business schools have started to offer this training with a more business character, allowing professionals coming from engineering or business administration to develop as experts in Big Data.
The differentiation lies precisely in creating a mixed professional profile. The Big Data is a specialty that is still in full development, so if you start to focus your career on this path you will acquire a great advantage over other professionals.
Big data analyst skills
- Mathematical and analytical skills.
- Computer, mathematical and statistical knowledge.
- Control of technology and databases, such as SQL or PL/SQL.
- Programming and program control skills such as R or Python.
- Administration of distributed storage systems.
- Design of a reporting system for data visualization, especially in the field of business intelligence.
- Knowledge of machine learning techniques.
- Control of Hadoop tools, such as Hive or Pig.
- Ability to manage software tools in data structure systems.
- Data manipulation language instructions, such as data wrangling, data munging or data tyding.
You should also not forget business skills
- Establishing trust between your company’s department.
- Knowing how to communicate in order to convince with your ideas.
- Having business vision.
- Once you have completed your university studies (the most specific being mathematics, computer science, statistics or business management), a postgraduate degree will allow you to specialise in the area of Big Data and broaden your knowledge to be able to analyse large volumes of data using the most innovative tools.
What is the salary of a Big Data Analyst?
Adecco, the human resources consulting firm, believes that the profession of data analyst is booming and has a future. The salary of a Big Data Analyst can range from 30,000 to 60,000 USD gross per year, depending on previous experience and acquired over time. We must take into account that this profession will be more and more in demand thanks to the digital transformation that we are experiencing, so a data analyst can be paid up to 70,000 USD. In the United States these professionals earn these amounts of money. That is the big data analyst average salary.