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Customer Big Data Analytics Sr Associate- Columbus

Company: JPMorgan Chase
Location: Columbus
Posted on: July 15, 2019

Job Description:

SunIRef:it Customer Big Data Analytics Sr Associate- Columbus JP Morgan Chase 23,090 reviews - Columbus, OH 43240 JP Morgan Chase 23,090 reviews Read what people are saying about working here. Chase is the U.S. consumer and commercial 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 America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. 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 *********. Description Big Data Analytics Sr. Associates within the CCB Customer Data Infrastructure organization are responsible for extracting value and delivering on our strategic goals through the use of data analytics and visualization. Key responsibilities include: Leverage big data assets to develop insights and quantify opportunities in line with our strategic initiatives Extract and quantify data-informed insights to help define opportunities and shape strategic Customer Data Domain initiatives (Enhance Customer Identity Mgmt, Deliver One Chase Experiences, etc.) Perform advanced root cause analysis to better understand complex issues and anomalies and identify viable data-informed solutions to remediate data quality issues Ensure availability of high quality and usable customer-level data and insights The candidate must exhibit a thorough understanding of data structures, data manipulation, metadata, data security, and data quality management. In addition, the candidate must develop a strong understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of customer data. The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust analytic data solutions that meet and/or exceed customer expectations. The ideal candidate will possess data analysis skills, data visualization skills, an understanding of data science, and a commitment to producing high quality results. Other responsibilities will include the following: Facilitate use case & requirements definition, design, testing, and implementation of new data assets and analytic capabilities that address specific business needs Profile, wrangle, and prepare data from diverse sources to support analytical efforts Write data transformation logic in languages such as Python, SparkSQL, and Spark. Conduct business process analysis and identify data needed to support the processes and determine whether the firm's data is fit for use within a given process Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm Educational Requirement The candidate must have an educational background in Data Analytics, Computer Science, MIS, Statistics, Mathematics, or a related discipline. In addition, the candidate must have a minimum of a Bachelor's degree with 5 years of experience or a Master's degree with 3 years of experience. Required Skills 3+ years of experience as a lead or key participant on data analysis related efforts 5+ years working with extremely large data sets in the Hadoop big data processing stack using SparkSQL, Hive, Spark, Python, and Sqoop Advanced analytical thinking and problem solving skills Understanding of Hadoop-related technologies & their applications Excellent command of the SQL language Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle) Knowledge of version control tools and processes (e.g. Subversion, Git) Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data Preferred Skills In-depth knowledge of consumer and wholesale banking data Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation Please Note: We do not offer employment based sponsorship for this role. If you require employment based sponsorship either now or in the future (i.e.: you are currently authorized to work pursuant to a student visa (OPT) but will require employer based sponsorship to continue working past its expiration), you are not eligible for this role. JPMorgan Chase - 5 hours ago - report job - original job On Company Site

Keywords: JPMorgan Chase, Columbus , Customer Big Data Analytics Sr Associate- Columbus, Other , Columbus, Ohio

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