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Data Management Principles and Data Governance Lifecycle and standards and tooling. Industry standard Metadata management product – Collibra, Informatica EDC/AXON/CDGC. Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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The Director, Data Science is responsible for helping set the vision for improving Bloomin’ Brands Customer Relationship Management (CRM) efforts through effective use of guest data.
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Track and coordinate all mechanical disciplines: HVAC, Energy, Controls, Fire Protection, Fire Alarm, Plumbing, Fuel Oil Storage / Management / Distribution. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals.
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This role will be involved in working with Product Management, R&D, Business, Data Science and Data Architecture teams to design, build, and deploy a leading-edge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse.
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Job Description:The Senior Exploitation Specialist/Data Scientist requires intimate knowledge and experience in the enrichment and data management activities supporting GEOINT Exploitation Services, specialized GEOINT production efforts, and the delivery of GEOINT Production Services.
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Experience in using data visualization and reporting tools, such as Tableau, Power BI, Looker, etc. AtkinsRéalis has been providing infrastructure planning, engineering, construction, environmental consulting, urban planning, architecture, and program management services to public and private clients across the United States for more than 50 years.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Will closely work with Chief Data Office (CDO) and Americas Risk Management teams to handle the data analysis requests, internal controls, performance tuning, impact analysis requests.
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Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered.
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An in-depth knowledge and understanding of Data Governance, management, architecture, data concepts, data contract, data offering, LDM, data lineage and guiding principles of FCDO, CDGP and CDGS will be very valuable to have.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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In this role, you will be working as a member of the Office of the Chief Data Officer (OCDO), Enterprise Data Quality Team (EDQ), responsible for enabling the efficient and actionable use of data by planning, developing, and implementing enterprise data controls across systems within the Bank with a focus on Risk and Regulatory Reporting under the Data Management Integrated Control Framework (DMICF.
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management data jobs Title: data in Tampa, OH, Us
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