27 days old

Senior Analytics Information Management - P207955

Riverwoods, IL 60015
  • Job Code
    P207955
\u003Cp\u003EAt Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. \u003Cstrong\u003EWe\u0027re all about people, and our employees are why Discover is a great place to work.\u003C/strong\u003E Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.\u003C/p\u003E\u003Cp\u003EWant to join a team of talented Advanced Analytics and Information Management professionals at Discover who are championing and leading Discovers\u0027 journey to NextGen Analytics, NextGen Information Governance and Cloud migration initiatives? If you are passionate in the areas of Cloud Analytics, Information Governance and leveraging data to enable capabilities like Machine Learning this is a perfect opportunity. Ideal candidate will have proficiency in one or more of the following areas - Python, R-Studio, SAS, Tableau, SQL, AWS, Snowflake, Data Quality, Metadata Management, Data Profiling and Data Stewardship.\u003C/p\u003E\u003Cp\u003EResponsible for analyzing complex data, data transformations, data lineage, data quality rules, data models, data integration, utilizing enterprise data warehouses and big data systems. Partners with the business and technology teams to develop innovative analytics and data solutions.\u003C/p\u003E\u003Cp\u003E \u003Cstrong\u003EResponsibilities\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EAnalyzes complex database systems using a variety of tools.\u003C/li\u003E\u003Cli\u003EDevelops reports utilizing dashboards and visualization tools.\u003C/li\u003E\u003Cli\u003EUses data quality and data profiling tools to profile complex data sources, define data quality, and define data transformation rules for converting raw data into consumable data.\u003C/li\u003E\u003Cli\u003EDocuments data requirements. Illustrates how data domains relate to each other using tools like source-target mappings, process-flow diagrams, data-flow diagrams, and workflow diagrams.\u003C/li\u003E\u003Cli\u003EPartners with management and product owners to develop user stories and defines requirements for the development and enhancement of data applications.\u003C/li\u003E\u003C/ul\u003E \u003C/p\u003E\u003Cp\u003E \u003Cp\u003E\u003Cstrong\u003EMinimum Qualifications\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EAt a minimum, here\u0027s what we need from you:\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBachelor\u0027s Degree in Information Technology, Computer Science, Engineering\u003C/li\u003E\u003Cli\u003E6\u002B years of experience in Data Integrations, using tools like Informatica, Datastage, Ab-Initio\u003C/li\u003E\u003Cli\u003E6\u002B years of experience in Data Warehouse/Datamart development, using tools like Terradata, SQL\u003C/li\u003E\u003Cli\u003EIn lieu of a degree, 8\u002B years of experience in Data Integrations, using tools like Informatica, Datastage, Ab-Initio; 8\u002B years of experience in Data Warehouse/Datamart development, using tools like Terradata, SQL\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EPreferred Qualifications\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EIf we had our say, we\u0027d also look for:\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EMaster\u0027s Degree in Information Technology, Computer Science, Engineering\u003C/li\u003E\u003Cli\u003E4\u002B years of experience in Data Quality, Data Profiling, Metadata Management\u003C/li\u003E\u003Cli\u003E2\u002B years of experience in Credit Card, Banking, Fraud, Risk, Compliance, Collections, Underwriting\u003C/li\u003E\u003Cli\u003EIn lieu of a degree, 2\u002B years of experience in Risk, Marketing, Acquisitions modeling, strategy development\u003C/li\u003E\u003C/ul\u003E \u003C/p\u003E\u003Cp\u003E \u003C/p\u003E \u003Cp\u003E The same way we treat our employees is how we treat all applicants - with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity \u0026 inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover. \u003C/p\u003E \u003Cbr\u003E\u003Cbr\u003E

Categories

Industry

  • Banking / Finance
Posted: 2019-11-15 Expires: 2019-12-15

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Senior Analytics Information Management - P207955

Discover
Riverwoods, IL 60015

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