Data Analyst

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•  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, and data systems – reorganizing data in a readable format
•  Performing analysis to assess the 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 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. 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 Key Skills for a Data Analyst

 Strong mathematical skills to help collect, measure, organize and analyze data  Knowledge of programming languages like SQL, Oracle, MATLAB, and Python  Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.

 Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases  Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing  Adept at using data processing platforms like Hadoop and Apache Spark  Knowledge of data visualization software like Tableau, Qlik

•  Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
•  Problem-solving skills
•  Accuracy and attention to detail
•  Adept at queries, writing reports, and making presentations
•  Team-working skills
•  Verbal and Written communication skills
•  Proven working experience in data analysis
•  Knowledge of Excel , Advance Excel