JOB DESCRIPTION

• Data mining: Data Analysts extract data from multiple sources that can be primary or secondary. After that, they organize the data in a proper format that can be easily understood.
• Maintaining databases: Data Analysts help design and maintain database systems. This includes creating, updating, reading, and deleting a database.
• Data preparation: Data collected from multiple sources would always have errors, redundancy, missing values, and many more, which means that the data is in a raw format. After the extraction of the data, therefore, Data Analysts have to convert the raw data into structured data by resolving the errors in the data, removing irrelevant data, and identifying the potential data. They apply many data cleaning techniques to make it ready for manipulation and visualization by Data Scientists.
• Quality assurance: Most organizations rely on their data for their day-to-day pursuits. Therefore, it becomes necessary to get quality data for enhancing the productivity of the organization. Data Analysts make sure that the data collected from multiple sources is relevant to the business.
• Collaborating with other teams: Data Analysts prepare data for Data Scientists, ML Engineers, and other software development teams. They use the data for building ML-based automated software. Data Analysts coordinate with development teams to convey the necessary information related to the data.
• Maintaining the confidentiality of data: In 2020, data and information are a vital resource for any business. Therefore, maintaining data and information security is one of the important tasks of Data Analysts in the present day.

1. CANDIDATES WITH GOOD COMMUNICATION SKILL
2. EXCEL KNOWLEGE