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    Data Analyst - Mumbai, India - AVE Promagne

    AVE Promagne
    AVE Promagne Mumbai, India

    Found in: Talent IN 2A C2 - 3 days ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    A data analyst is responsible for organizing data related to sales numbers, market research, logistics, linguistics, or other behaviors. 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, 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 )
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