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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | General / Other Software |
EmploymentType | Full-time |
CCB is the U.S. Consumer and Community Banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.5 trillion and operations worldwide. Chase serves nearly half of Americas households with a broad range of financial services, including business banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Consumer and Business customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.Description Data Analyst within the CCB Data Infrastructure focus on Data Management and supporting our Analytics Partners. They work with agile development patterns, supporting migration of legacy and processes and data from Business Analysts and Data Science Teams to Technology Supported Platforms and Operations. They need to be the bridge between Data Scientists and Technology Production and Operations taking data and processes from current state to Target state. The Small Business Banking & Consumer Banking Domains are responsible for driving critical cross-functional projects in support of designing, building, and implementing business customer-centric data assets for use across the firm. The candidate must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management. In addition, the candidate must have a solid understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of customer data. As a Data Analyst, you will work as a consultative team member. Data Analyst function as Hadoop team members for engagements to support the implementation of AtScale or other Hadoop OLAP tools (AtScale, Kyvos or other OLAP on Hadoop). Engaging from Proof of Concept (POC) stages through to implementation of complex distributed production environment, you work collaboratively to successfully deploy and implement AtScale in the production environment. You ve got the technical depth to roll up your sleeves to work with Hadoop and Hive and the polish to present best practices and other solutions as needed.The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and support the design and development of robust data solutions that meet and/or exceed customer expectations. The ideal candidate will possess JPM institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results. Experience working with with teams and delivering solutions through agile methodology and collaborating on backlog grooming and prioritization will be a strong plus.Other responsibilities will include the following:
Keyskills :
informaticadata modeling erwinunix proof of conceptversion control tools source system analysisbusiness process analysis