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Job Location | Gurugram |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Skill required: Risk Data Management - Data AnalyticsDesignation: Management Level - AnalystJob Location: GurugramQualifications: Any GraduationYears of Experience: 3-5 yearsAbout Accenture OperationsIn todays business environment, growth isnt just about building value-its fundamental to long-term business survival. So how do organizations sustain themselves The key is a new operating model -one thats anchored around the customer and propelled by intelligence to deliver exceptional experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clients-by harnessing talent, data and intelligence to revolutionize their operating models. Operations is one of four services that make up one Accenture -the others are Strategy and Consulting, Interactive and Technology. Visit us at www.accenture.comWhat would you do You will be aligned to our Financial Services, banking, Insurance, and Capital Market vertical which is focused on helping clients with their tax preparations, insurance coverage, and investment portfolios.The team takes loss control to the next level by combining deep analytic capability with our global risk consulting and risk engineering expertise, to craft solutions for our clients to improve safety and reduce loss cost and exposures. The team works with stakeholders to gather business requirements and leverage analytical experience to suggest the feasibility and technical approaches to fulfill the requirement. The team is accountable for data management that includes a fully scalable relational database management system. ETL(Extract, Transport, and Load) - Set of methods and tools to extract data from outside sources, transform it to fit an organizations business needs, and load it into a target such as the organizations data warehouse. They identify and present analytical findings and opportunities for continuous improvements to stakeholders.In Data Analytics, you will have to analyze, inspect, clean, transform, and model data. This involves collecting and scrutinizing every data sample in a set of items from which samples can be drawn. It implies designing and implementing interfaces, architecture and reporting structures. You will use Analytics to detect and prevent fraud, waste and error using Quality Control Tools, 5WsH, Fish Bone, Statistical Analysis expertise.Roles and Responsibilities
Keyskills :
quality control toolscapital marketdata analyticsquality controldata managementrisk consultinghelping clientsrisk engineeringfinancial services