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4+ years of data analytics in the field of Business Intelligence or Information Management. Summary:The Enterprise Data Management (EDM) organization is comprised of multiple teams that are responsible for developing, executing, and delivering data products across a new cloud platform at Neuberger Berman.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.
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An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Proficient with SAP, Microsoft Teams, Power BI, and M365 Strong understanding of various SAP ISU modules, device management, Billing and Invoicing, FICA, CCS, Master Data, EDM, EMMA, BPEM, OLE and Winshuttle Scripting.
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Work closely with our company's IT organization to develop and implement IT infrastructure at partners including, but not limited to, notebook record-keeping and data QC.Through sourcing efforts, enable a unified sourcing strategy between ExQB, External Discovery Chemistry and PDMB outsourcing groups, by implementing and growing co-localized and integrated CRO sourcing partners focusing on business continuity and improving the Design, Make, Test, Analyze cycle time.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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Understand key Data Management concepts and apply Analytics to support audit testing. Basic knowledge of Cloud, Cyber & Data Management principle. Propose, build and execute data analytics solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, QlikView, Toad, Tableau, Business Objects, and others.
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Strong Architectural knowledge in Data Management and Data Warehouse/Business Intelligence design and development. Use Amazon Redshift Spectrum to Query External Data-Gather requirements from customers and understanding of master data management concepts-Have excellent Administration, Installation experience with Informatica Product suite.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate and insightful outcomes. Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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degree data management jobs Title: data analyst business systems in New York, NY
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