Wipro is hiring both experienced and fresh candidates for the position of data analyst. Below are the specifics of the job criteria along with further details.
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About Wipro
Wipro, an Indian multinational organisation, is a provider of information technology, consulting, and business process services. It is stylized in lower case as wipro. It is among the top Big Tech businesses. Wipro offers clients in 167 countries a wide range of technology consulting services, including cloud computing, computer security, digital transformation, robots, artificial intelligence, and data analytics.
Wipro Hiring Data Analyst Details
Job Role:Â Data Analyst
Company Website: www.wipro.com
Qualification:Â Graduate/BE/B.Tech
Batch:Â 2024,2023,2022,2021,2020,2019
Experience: 0 – 2 Year’s
Salary: 3 – 7 LPA*
Job Location:Â Hyderabad, India
Last Date:Â ASAP
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Roles & Responsibilities
- Keeping the project’s technical scope under control and compliant with requirements at all times.
- Compile data from a variety of sources, including databases, data warehouses, data integration, and modelling, then analyse trends and patterns.
- Create policies and a method for record management.
- Develop and preserve connections with clients at all levels of the organisation and be aware of their needs.
- Supplying the clientele with sales information, proposals, data insights, and account evaluations.
- Determine where process automation and efficiency can be improved.
- Create and manage data processes that are automated.
- To assist with data validation and cleansing, identify, assess, and put into use external services and tools.
- Create and monitor critical performance metrics.
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Required Skills & Qualifications
- B.Tech, B.E., or any other bachelor’s degree.
- Making Use of Technology? Understanding of new and emerging technologies (automation, tools, and systems) to increase productivity and effectiveness in one’s own or a client organisation? Professional
- Process Excellence: The capacity to adhere to guidelines and standards in order to generate reliable outcomes, offer efficient control, and lower risk.
- Familiarity with a variety of data analytics tools and computer languages and software (such as Python, Microsoft Excel, VBA, Matlab, and SQL).
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