Do you know what the data analytics job roles are? At Imarticus we look at the keys to this professional profile, what their work consists of and the main requirements to start a career as a data analyst. We also tell you all you should know about data analytics jobs.
We are surrounded by data that, while it may not mean much in its raw form, can give significant value to many businesses and organizations when analyzed and turned into information. It's not about who has the most, but who gets the most out of it at the end of the day.
The data analyst is a specialist who converts data into information so that they may make better-informed judgments. To that goal, these experts complete the following tasks:
In the discipline of data engineering, consider the following:
- Data acquisition:
- Dataset identification: data may be found in a variety of places (e.g. databases, social networks, etc.).
- Acquisition: strategies for retrieving data for data analysis and processing.
- Review of the information gathered (structure).
- Exploration: using strategies to gain a better understanding of the data through preliminary analysis and a study of its nature (correlation, trends...).
- Data cleansing (incoherent, duplicated, incorrect values, etc. ), transformation, and packaging into useful/manageable structures for processing.
In the subject of computational data science, there are a few things to keep in mind:
- Analyze: by deciding on the best strategies and creating processing models (predictive models, classification, clustering, etc.).
- Dissemination of data analysis/processing outcomes.
- Using the model's conclusions in real-world situations, such as decision-making.
Data analyst profile
Due to the incipient process of digital transformation that many firms and organizations that already have a huge quantity of data but don't know how to use it to gain commercial benefits have begun to handle, the data analyst's profile is one of the most in-demand today.
With the rise of new occupations coming from technology demand, such as data analysts, the necessary training to perform the activities of this profile may be obtained in a variety of methods. STEM (Science, Technology, Engineering, and Mathematics) degrees are the ideal place to start if you want to learn the fundamentals of this field.
There are also many postgraduate and master's degrees available to become an expert in this sector, such as a master's degree in Big Data Analysis and Visualisation / Visual Analytics & Big Data.
Requirements to be a good data analyst
- Communication skills: describing the outcomes of the task to company or organization managers and directors who do not have a technical background.
- Dashboard design and implementation experience, particularly in the area of business intelligence.
- Familiarity with distributed storage systems
- Technological and “Machine Learning” foundation: algorithm creation, programming languages and databases management, and so on.
- Computer science, mathematics, and statistics knowledge: these profiles must be able to analyze databases, construct models, and forecast statistics, among other things.
- The capacity to evaluate data and draw judgments based on it is critical.
- The capacity to synthesize data in order to derive meaningful and relevant information.
- Analytical and creative skills: methodical, systematic, and creative workers do their tasks carefully, analyzing and processing data to develop answers to issues or company demands.
- Business acumen: understanding of the industry and the activities of the firm for which you work, as well as the ability to apply that knowledge to identify problems that can be solved through data analysis and processing.
If you want to find out what data analytics job roles entail, at Imarticus, we look at the most important aspects of this profession, what they do, and what it takes to get started in your career as a data analyst. We also cover all you need to know about data analytics jobs.