Data Analyst Job Description: Skills and Responsibilities. Top Companies Hiring

In the last decade, data has forever changed how we interact with machines and communicated with people. Globally, 2.5 quintillion bytes are generated each day. This includes YouTube videos, emails and text messages. Today, both small and large businesses have huge amounts of data inflow. This data is only as valuable and valuable as the insights these businesses can derive from it. Data analysts are crucial in this area. Data analysts interpret statistical data and transform it into actionable insights that aid in real-time business decision making.
Today’s businesses are increasingly dependent on data and insights. Data-driven decisions are made by key decision-makers using insights, such as which markets to enter, which products to produce more, which investments will be profitable, and which customers to target. Businesses also benefit from data to identify potential areas that need to be addressed.
Data analysis is therefore a highly sought-after job. The largest companies around the globe are looking for data analysts. This is a great opportunity for those who are looking for a career that can withstand the disruptions of the next decade.
Data Analyst Professionals:
Are you interested in a career as a data analyst? This role has many responsibilities.
Data analysis tools can be used to extract data from different data sources.
Correct any errors or corruptions.
Perform quality analysis on data.
Manage and develop databases.
To manage data, create database processes and systems.
Filter existing data according to the needs of different stakeholders.
Use statistical tools and data analysis for market predictions and actionable insights.
To forecast trends and make predictions, prepare detailed reports based upon analysed data.
To keep up to date on data management systems, work with other members of the team. This includes the technical, product, and engineering teams.
Manage Exploratory Data Analysis projects to identify patterns.
Excel and VBA are easy to understand.
Proficiency in statistical tools like SAS and SPSS, as well as other tools depending upon project needs.
The following are the key skills a data analyst should have:
Strong mathematical skills are required to collect, measure, organise, and analyze data.
Understanding SQL, R, Oracle and Python programming languages
Expertise in data modeling, database design, segmentation, and data mining techniques
Experience with reporting package handling, including databases and business objects, programming (XML or ETL frameworks).
Understanding statistical packages and statistics that are used to analyse data.
Fluent in the workings and features of data processing platforms such as Apache Spark or Hadoop
Knowledge of data visualisation software, including Qlik and Tableau
How to create and apply algorithms to data sets to identify solutions
Problem-solving abilities
Attention to fine details
Solid knowledge of querying, presentation writing, and report writing
Ability to work in a group
Strong verbal and written communication skills
Data analysis is a specific industry experience
Qualifications for a Data Analyst
Technical experience is not enough to become a data analyst. An undergraduate degree in an analytical or statistic subject such as statistics or mathematics was required back then. This background gives students an advantage over their competitors even today. You could also opt for a postgraduate certificate or a skill-based certification. Skill-based certifications are becoming increasingly popular as they cov