Wipro recruitment drive 2023|data analyst|4.5LPA|B.E/B.Tech/M.E/M.Tech/MCA/BSC/BCA|apply soon

Wipro recruitment for freshers 2023|data analyst |bengaluru, karnataka, india|2023/2022/2021/2020/2019/2018/2017|bachelors degree/masters degree|apply soon

About company :

• Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. Thierry Delaporte is serving as CEO and managing director of Wipro since July 2020.

Wipro recruitment :

Role purpose :

• The purpose of this role is to interpret data and turn intoinformation (reports, dashboards, interactive visualizations etc) whichcan offer ways to improve a business, thus affecting business decisions.

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Description :

• Managing the technical scope of the project in line with therequirements at all stages
  1. Gather information from various sources (data warehouses,database, data integration and modelling) and interpret patterns andtrends
  2. Develop record management process and policies
  3. Build and maintain relationships at all levels within the clientbase and understand their requirements.
  4. Providing sales data, proposals, data insights and accountreviews to the client base
  5. Identify areas to increase efficiency and automation ofprocesses
  6. Set up and maintain automated data processes
  7. Identify, evaluate and implement external services and tools tosupport data validation and cleansing.
  8. Produce and track key performance indicators
• Analyze the data sets and provide adequate information
  1. Liaise with internal and external clients to fully understanddata content
  2. Design and carry out surveys and analyze survey data as per thecustomer requirement
  3. Analyze and interpret complex data sets relating tocustomer’s business and prepare reports for internal and externalaudiences using business analytics reporting tools
  4. Create data dashboards, graphs and visualization to showcasebusiness performance and also provide sector and competitorbenchmarking
  5. Mine and analyze large datasets, draw valid inferences andpresent them successfully to management using a reporting tool
  6. Develop predictive models and share insights with the clients asper their requirement

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