All analysts are engaged in information analysis, but not everyone uses mathematics, statistics, and programming languages. A data analyst helps make sure that the information collected benefits the business. The main goal of data analytics is to benefit from the data obtained to:
form a clear conclusion.
Who is a Data Analyst
A data Analyst is a big data specialist: he or she collects data, processes, and draws conclusions. Based on his reports, company executives make essential and correct decisions.
A professional data analyst can make recommendations on changing the overall business strategy based not on fantasies and emotions but on accurate statistics. The tasks that the data analyst performs make business, management, scientific research, and other areas more successful.
Usually, a data analyst is needed in companies that use a data-driven approach (based on data analysis). The competent application of research creates a positive reputation and more dynamic development.
What is the Role of a Data Analyst
The primary responsibilities of the data analyst are:
• Communication with business owners and identification of company problem areas.
• Information collecting
• Creating a hypothesis to improve the required indicators
• Prepare data for analysis: sort, filter, etc.
• Definition of patterns
• Developing solutions that can be used for a project or business.
• Visualization data for clarity.
Key Skills of a Data Analyst
Understanding the specifics of the subject area. To demonstrate high performance, a data analyst should immerse himself in the chosen area, understanding and taking into account its characteristics when processing information and drawing conclusions.
Knowledge of tools for finding the best in each case: implementing SQL queries or machine learning, building a database.
Obtain, store, and access Data Engineering information.
Ownership of Data Mining tools and methods.
Knowledge of data access and processing tools, spreadsheets (SQL, DBMS, data stores, ETL)
Knowledge of programming languages (Python, SAS, SQL, R) to write queries to relational and non-relational databases.
Ability to manage ETL storage and BL analytics systems.
Visualize information using Tableau, QlickView, Power BI data marts.
Ability to use the Apache Hadoop infrastructure.
Ability to configure a neural network.
Understanding mathematics in terms of statistics, discrete mathematics, linear algebra, and probability theory.
Knowledge of system analysis, business process analysis, project management, and quality management methods.
Which companies need data analysts?
Most modern companies make strategic decisions based on data. Big data is an essential resource for business. They are used in IT, retail, finance, healthcare, gaming, e-sports, telecom, and marketing. Any company where there is data needs a data analyst.
Thanks to high-quality data analysis, the business can:
• Identify current and future customer needs
• forecast demand for a product or service;
• assess the probability of error in different actions;
• monitor the operation and wear of equipment;
• manage logistics;
• Monitor employee performance.
All this helps the company learn more about itself, increase profits and reduce costs.