When a Data Analyst works with the information in all means, Have you ever wondered about the way they work? Do you prefer to know how the process of their work life goes? Are you interested in the roles and responsibilities that every Data Analyst holds? This article illustrates how Data Analyst spends their day and the way they use their technical and non-technical skills.
Who’s a Data Analyst?
A Data Analyst is a person who is responsible for collecting, organizing, and interpreting datasets in order to solve problems related to market research, logistics, linguistics, etc. Also, they review the data to identify key insights into a business’s customers and communicate to the stakeholders.
What do they do in particular?
The Data Analyst helps the business with information in such a way that interprets details of goods or services related to the organization and their work include
➔ collecting data
➔ problem diagnosis
➔ removing data
➔ data processing
➔ data visualization
➔ making reports
➔ detection of patterns
➔ data cleaning
➔ establishing infrastructure
➔ collaborating with stakeholders
Additionally, their scope of work lies in designing and managing databases and data systems, which includes resolving coding issues and other issues relating to data. Data mining from both primary and secondary sources, followed by reorganization into a format that is simple for both humans and machines to understand. With respect to the work process as data analysts, they must transform unprocessed data into insightful knowledge. The process of data analysis starts with defining the question and proceeds by collecting the data in order to clean it and then analyzing the data to visualize the best solution.
What roles and responsibilities do they possess?
One of the most intriguing and exciting job options in the next years will be one involving data science. Data scientists, data analysts, business analysts, and other job profiles are some examples of those in data science. There are several things to work on depending on the positions and responsibilities.
Here, we have pointed out the roles and responsibilities of a Data Analyst and that include -
➔ Identifying informational requirements in collaboration with organizational leaders
➔ Data cleaning and validation to assure accuracy, completeness, and consistency
➔ Creating and implementing models and techniques to mine huge data warehouses
➔ Analyzing data to help detect patterns and trends using data to uncover answers and possibilities
➔ To measure and enhance the results that deliver the final results to stakeholders
➔ Obtaining information from primary and secondary sources
➔ Reorganization for analysis
➔ Data sets are analyzed to identify trends and patterns that may be turned into actionable insights
➔ Conveying findings in an understandable manner to influence data-driven decisions
When it comes to data analytics, it is crucial to have an understanding of the inner workings, processes, procedures, and other vital features of an organization. Working well with others is an essential thing for a data analyst to be successful. To carry out their duties and enhance data processes, data analysts also collaborate closely with other team members who have a focus on data, such as other data analysts, data scientists, and database developers.
What are the tools used by Data Analysts?
There are eight such Data Analyst tools that help every Data Analyst according to their preference, to gather insights from the data. In data analysis, tools are used to get important insights that help you make more wise and effective decisions. The list of tools used by Data analysts are as follows
● SQL - is used in software development by the developers to manage data from relational databases
● Microsoft Excel - A simple important application that helps with the creation, and analysis of data using formulas and functions
● VBA - Visual Basic for Applications(VBA) is a programming language exclusively made for Excel and also used in financial analysis
● Jupyter Notebooks - This allows to create and share documents containing live code, equations, etc.
● R - An open-source programming language that is used for statistical modeling and also used to undertake data wrangling
● Tableau - A leading data visualization tool used for business intelligence and data analysis
● SAS - Statistical Analysis System(SAS) is a set of computer programs that work together to modify/ store/ retrieve data values for computing simple and complex analyses and creating reports
● Power BI - A secure Microsoft-hosted cloud service that allows users to view dashboards, reports, and Power BI applications
What could be the career progression from Data Analyst?
There are various career progression for a Data Analyst in future terms and that may include Business Analyst, Data Engineer, Data management Analyst, Machine Learning Researcher, Operation Research Analyst, Intelligence Analyst, etc. Other than these, there exist sub-job profiles that come under the mentioned job roles.
Summary
In this article, we’ve discussed Data Analysts' work and their roles and responsibilities along with the usage of tools they possess. A competent data analyst can do thorough data analysis and successfully and clearly present their conclusions to others. If you are interested in the field of Data Science, check out Skillslash which offers courses like the Data Science course in Bangalore with globally recognized certifications for projects on real work experience added with a 100% job guarantee factor. Enquire now for a free counseling session to get familiar with the course details.
