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    Data Analyst - Anywhere in India/Multiple Locations/Bangalore/Mysore/Karnataka - Aricent

    Aricent
    Aricent Anywhere in India/Multiple Locations/Bangalore/Mysore/Karnataka

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

    Default job background
    permanent Technology / Internet
    Description

    Position :
    DATA Analyst


    Type :
    WFO/ WFH


    Job Role and Description :

    • Using automated tools to extract data from primary and secondary sources
    • Proficiency in finetuning data queries.
    Strong SQL skills and knowledge of SQL queries/SQL Server Integration Services (SSIS) are required

    • Familiarity with Dimensional Modeling design principles is a plus.
    Knowledge of data warehousing concepts and ETL processes is highly desirable

    • Strong analytical skills to be able to analyze complex data sets and draw meaningful insights from them
    • Knowledge of statistical methods and tools to build predictive models and perform statistical analysis
    • Knowledge of data visualization tools such Power BI to create visual representations of data
    • 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 dataanalysis steps, enabling them to take important decisions based on various facts and trends.
    )
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