Data Analyst

A data analyst is responsible for organizing data related to sales numbers, market research, logistics, linguistics, or other behaviours. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
Using automated tools to extract data from primary and secondary sources
Removing corrupted data and fixing coding errors and related problems
Developing and maintaining databases, data systems - reorganizing data in a readable format
Performing analysis to assess quality and meaning of data
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Analyzing local, national, and global trends that impact both the organization and the industry
Preparing reports for the management stating trends, patterns, and predictions using relevant data
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Another integral element of data analyst job description is EDA or Exploratory Data Analysis Project. In such data analyst projects, the analyst needs to scrutinize data to recognize and identify patterns. The next thing data analysts do is use data modeling techniques to summarize the overall features of data analysis.

Data Analyst Skills Required

As a data analyst, you should possess the following eight skills:
Cleansing and preparing data
Analyzing and exploring data
Expertise in statistics
Analyzing and visualizing data
Reports and dashboards
Communication and writing
Expertise in the domain
Solution-oriented