Are you familiar with a data analyst´s job? Are you aware of how important it will be in the coming years? We here at Zoox are always explain to you hs ahead so we will explain to you how and why this professional will have a central role in future companies.
What is a data analyst
A data analyst is a professional trained in gathering, processing and analyzing data. Using modern technologies this professional is able to transform a vast amount of data into valuable insights for the company.
Corporations from all segments, from healthcare plans to retail and big industries, can hire data analysts. The knowledge created by data analysis brings a more assertive look into operations, results, and consumers, benefitting all kinds of businesses.
The means to gather and process information evolved in the last years and it is already possible to use data to solve problems and bottlenecks which every company faces. The trend is that technology will become increasingly crucial in every business´ efficiency, and to this end, a human eye is necessary to cross-check information as well as impress an analytic view on where to better apply resources.
These are the premises which make data analysis such a promising and strategic area. According to Exame, the position of a data analyst is 2018´s best professional bet in the U.S., with more than 4.500 opened positions, $110.00 yearly income and the best satisfaction rate among professionals. As reported on I Love Mondays, salaries in Brazil are around R$9.000 and could reach up to R$ 25.000 in bigger companies.
What is needed to become a data analyst
As it is a new field of work, data analysis courses are still being consolidated in the market. There are courses in traditional universities like Stanford, MIT, and NYU as well as completly free online courses on Coursera, Udacity, and IBM.
While each one of them has different methodologies and demands distinct expertise, there are some general characteristics which are important for those who think about working on this field:
- Technology skills. Computers, sensors and software, these are the main tools to generate and analyze data. In order to work with data analysis, one needs to be skilled in the use of existing technologies (and interest in those that still do not exist or are still in the development stage). An understanding of programming languages such as C++, Python or MySQL is an edge as some companies demand previous knowledge.
- Statistic and numeric knowledge. An analyst needs to be able to handle a massive amount of data thus familiarity with numbers and statistics is a must. It does not require a genius but being able to deal with tables, graphs, comparative analysis, projections and other elements that convert data in easy to access information for managers, departments, and areas.
- Attention to detail. Paying Attention to details and data validity is important to generate certain results. Nobody wants to make a decision based on wrong data, right? For that reason, the analyst needs to validate precision, relevance and data validity being used in one´s analysis.
- Creative and strategic ability. At the end of the process, all collected and analyzed data need to be transformed into understandable information, which creates value and intelligence. This process requires creativity from the professional along with the ability to analyze the organization in a strategic way.
Besides those specific skills, it is convenient that the data analyst possesses other characteristics which are essential to perform in the business intelligence field. Multidisciplinarity, being able to work as a team, segment knowledge, proactiveness, adaptability to rapid changes and involvement in the company´s objectives.
Cargill data analysis strategy to improve shrimp farming
We mean it when we say that data analysis could be implemented in any market or segment. CIO ‘magazine recently published an article about how Cargill used data analysis to boost shrimp farming.
The giant from the food industry, Cargill, decided to innovate shrimp farming in their Equatorian farms using sensors to collect data, leaving pen and paper in the past.
By analyzing temperature, pH and tank nutrition, the company developed a technology that automatically releases the necessary amount of ration in each farming tank, decreasing mortality and increasing production.
It may look like a simple and less valuable application, but they went beyond. Tifanny Snyder, the company´s CIO, used her strategic thinking to develop a new product. The same implemented technology became iQuatic, an app that promises to optimize and automatize farming tanks. In other words, besides developing a new method, the company was able to launch a new product.
Business acumen, data analysis, and technology implementation based on data, Cargill was able to use the power of information in solution to generate business and intelligence.
Zoox Smart Data is part of the future
Following the world´s biggest trends in connectivity, Zoox Smart Data works with technology that transforms a company´s reality bringing to our clients the most efficient technology in the world of data and business intelligence.
Zoox Smart WiFi is one of these solutions, which transforms our client’s WiFi infrastructure into a truly remarkable data mine. Upon its implementation, Zoox WiFi automatically crosses user information with other data banks and creates a consumer profile in accordance with security and privacy standards.
Zoox Smart Pass is a hospitality and event solution that utilizes facial recognition to speed up and optimize the check-in process. Just like Zoox Smart WiFi, information is crossed and an automated user profile is generated.
Want to find out more about our solutions? Get in touch with us.