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Job Location | Kolkata |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Sales / BD |
EmploymentType | Full-time |
DescriptionLine of ServiceInternal Firm ServicesIndustry/SectorNot ApplicableSpecialismIFS - OperationsManagement LevelSenior AssociateJob Description & SummaryA career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you ll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.As a Senior Associate, youll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Keyskills :
data analyticssalesqualityglobal leadershipcode of ethicstechnology servicesdata managementinsurancecustomer relationscritical thinkingmisbusiness intelligence