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Open Excellent opportunity for Senior Data Analyst for Leading manufacturing MNC (12+ yrs) –Manesar

at in Information Technology - IT

Industry : Information Technology - IT
Job Description
As a Excellent opportunity for Senior Data Analyst for Leading manufacturing MNC (12+ yrs) –Manesar your responsibilities include the following

Required:

 

•  Has the abiliy to handle the crude data using the latest technologies and techniques, can perform the necessary analysis, and can present the acquired knowledge to his customers in an informative way. 

• A basic knowledge of statistics

• Computer skills that are useful are a Querying Language (SQL,Hive,Pig), a scripting Language (Python, Matlab), a Statistical Language (R, SAS, SPSS), and a Spreadsheet (Excel).

• Use statistical methods to analyze data and generate useful business reports

• Work with management team to create a prioritized list of needs for each business segment

• Identify and recommend new ways to save money by streamlining business processes

• Use data to create models that depict trends in the customer base and the consumer population as a whole

• Work with departmental managers to outline the specific data needs for each business method analysis project

• Data Mining and business analytics using tools such as QlikView , SAS BI, SAP BO, Microsoft SSRS, MS Excel, Tableo

• Business Intelligence working knowledge and Conceptualize and Design Templates for New dashboard/ reports along with customer under the Performance Management framework

• Implementation and Delivery of  Data Warehouse (EDW)

• Interaction with IT/Vendor and Internal teams for  innovative technological solutions to enhance team performance / efficiency

• Understanding the requirements from Sales,Business Planning, Operations, Finance etc teams and recommend appropriate change management strategies

• Data analytics for Management support and decision making

• Data modeling and building reporting solutions for all the departments

 

Added advantage:

 

·         Examin Data and Prepare it for Decision Support. Transactional data is incredibly important for businesses because it helps them to expose variability and optimize their operations. By examining large amounts of data, it is possible to uncover hidden patterns and correlations.

·         Help CXO with MIS dashboards

·         KRA automation for all departments

·         Design and Perform Big data analytics (BDA). BDA is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

·         BE / MCA

 

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