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Data Analyst
Uses statistical methods to analyse large amounts of data and generate useful business reports. He/she performs statistical modelling (regression, classification, time-series forecasting)/ Machine Learning / Text Mining / Optimisation / visualisation, imp
Uses statistical methods to analyse large amounts of data and generate useful business reports. He/she performs statistical modelling (regression, classification, time-series forecasting)/ Machine Learning / Text Mining / Optimisation / visualisation, importing, transforming, validating and visualising data with the purpose of understanding or drawing conclusions from the data. They help model data into human-readable form (ROC curve, Excel chart, maps, etc.). Moreover, a Data Analyst interprets findings and prepares initial drafts of standard reports. They move data around, from a database or an API, through a transformation. They work with organisations dealing with data, like IT /ITES, KPO, E-commerce, Retail, Product-based companies, etc.
Business Intelligence
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable.
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable. Consults with stakeholders to identify new reports or data needs, to support business decisions. A BI professionals work with organisations dealing with data, like IT/TES, KPO, E-Commerce, Retail and Product-based companies.
Business Analyst
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable.
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable. Consults with stakeholders to identify new reports or data needs, to support business decisions. A BI professionals work with organisations dealing with data, like IT/TES, KPO, E-Commerce, Retail and Product-based companies.
Research Analyst
They help understand and translate business problems into analytical problems, break down analytical problems into chunks of solvable modules, identify the right hypothesis and data to be used for solving a problem.
They help understand and translate business problems into analytical problems, break down analytical problems into chunks of solvable modules, identify the right hypothesis and data to be used for solving a problem. They extract and work on enormous amounts of data to check data quality. A research analyst works with data to derive valuable and consumable insights to improve business quality. Performs root cause analysis to confirm the problem while working with the business stakeholder. They work with organisations dealing with data, like IT /ITES, KPO, E-commerce, Retail and Product-based companies.
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Disclaimer: The Placement assurance is subject to successful completion of the programme and other criteria of the recruiting company. T&C apply.
Placements
Disclaimer: The aforementioned companies have no obligation to recruit NIIT students each year.
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