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Development and design of new programs or enhancements to existing ones (environment: IBM Mainframe COBOL and DB2, occasional IMS) Development and design of new programs or enhancements to existing ones (environment: IBM Mainframe COBOL and DB2, occasional IMS.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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ETL: SSIS, IBM DataStage, Cognos DataManager. DB: SQL Server, DB2, (SQL), Mainframe IMS/VSAM, In-Memory DB, NoSQL. Individually satiates all new BI work demand while replacing Cognos with Microsoft Power BI to deliver interactive reports, cubes, real-time dashboards and scorecards (forecast and actuals.
Work from homeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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The candidate must have a strong working knowledge of IBM z/OS, z/OS Application Development, DB2, CICS and IMS. CICS/DB2 and IMS application programming. Working knowledge of DB2, CICS and IMS.
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Deep understanding of IBM Z systems: Minimum of 15 years of work experience with a demonstrated knowledge of z/OS, Assembly Language, DB2, QSAM, IMS, CA Endevor, BMC Control-M, JCL, and other core IBM mainframe technologies.
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BI: Microsoft Power BI, Cognos, Tableau. Owns execution of the plan and roadmap for consolidation and migration of business intelligence assets and technologies and re-factoring for BI asset consolidation.
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Analytics: Python, R, SAS, SPSS. Hands-on business intelligence and data analytics engineering including the delivery of an automated deployment pipeline with quality control across all Gerber Life custom and proprietary technologies using all people, process and technology advantages across the enterprise.
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10+ years of experience working with z/OS, JES2, SMP/E, TSO, IOCP/HCD. Basic IBM utilities (IDCAMS, IEFBR14, etc.) Working knowledge of CICS, IMS, DB2 and AFP printing is a plus. program product installations, working knowledge of the IBM virtual tape system and Unix System Services.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Partners with peer teams within the Application Development and Solutions Delivery (ADSD) department to convey the needs for data warehouse expansion for the purpose of advancing business intelligence and analytics capabilities for the company (data warehouse dimensionality with levels of aggregation and related metrics and analytics which serves as the trusted single vault of truth for the enterprise.
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Mainframe Databases and File Systems: You need to know of these mainframe databases and file systems and have worked with at least one: DB2, IDMS, VSAM, IMS, Datacom, Adabas. Your responsibilities will require experience in multiple databases (e.g. DB2, IMS, VSAM) and languages (e.g. Java, C#, COBOL, SQL, JCL) plus cloud platforms such as AWS, Azure or GCP.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Individually performs hands-on discovery, data modeling, and development to deliver value through data engineering and encourages others to do the same by example. Quarterly on-site travel to work in offices located in White Plains, NY (Gerber Life HQ), Fremont MI (Gerber Life Operations) and / or Cincinnati, OH (Western and Southern Financial Group HQ.
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Cloud: Azure Analytics Services, Google Cloud Smart Analytics. The ideal candidate is an industry-proven, hands-on, large-scale, senior leader of business intelligence and data analytics by trade specializing in curating and converting disparate, complex life insurance data sets into decision-making business intelligence and analytics.
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Ensures teams and individually adheres to all designs, policies, procedures and standards for data security and regulatory compliance. Typically requires 5 years collaborating with and leading a team of business intelligence and data analytics engineers utilizing Scrum and supporting tools (JIRA.
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Certifications & Licenses (i.e., Series 6 & 63, CPA, etc.) M.S. Computer Science or Management Information Systems. Typically requires at least 7 years of business intelligence and data analytics change management experience with at least 5 years in a leadership setting with executive level reporting experience.
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Typically requires 5 years of large-scale life insurance business intelligence and data analytics engineering experience. Must have the ability to simplify large-scale business intelligence and data analytics related needs to minimize total cost of ownership (ensuing overhead.
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Must be an autonomous team player able to lead effectively while solidifying working relationships at all levels of the organization. Individually manages product and sprint backlogs as needed to deliver data modifications.
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