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Our team includes alumni from Goldman Sachs Digital Assets, DeFi protocols (e.g. Maker, Badger, Balancer), big tech (e.g. SpaceX, Microsoft, Salesforce), and traditional finance (Fortress, Bridgewater, Prospect.
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Responsible for facilitating the continual enhancement of integrity, completeness, and timeliness of US innovation financial data to enable "one source of truth" for reporting and analytics. Innovation and Financial Operations Associate Manager will be responsible for supporting financial analytics, reporting, and process improvement for the US Innovation team by ensuring data integrity, conducting financial analyses to inform strategic recommendations, managing operational activities, and owning specific process improvement initiatives.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry.
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Analyze data and assess financial, anti-corruption, reputational and OFAC risks in order to identify impacted business departments, cross-department processes, and facilitate communications and ongoing implementation support with affected parties.
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We are leaders in managing data using the latest cloud information management and big data technologies. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Prior experience in design, conduct and oversight of real-world evidence studies ranging from protocol writing to project management oversight and data interpretation and communication. Solid understanding of the cross-functional drug development lifecycle and processes (Business Development, Clinical Trial Design, Conduct & Endpoint Selection, Clinical Operations, Data Management, Biostatistics, and Regulatory.
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Technology Ecosystem: Front-End: Power BI and SSASBack End: SQL Server and SSISArchitect: DataWarehouse and LakehouseCloud: Databricks with Azure Responsibilities Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.
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Technical Skills: Proficiency with HRIS systems (e.g., Workday, SAP SuccessFactors, ADP, Oracle HCM, UKG, Dayforce), MS Excel, and data analysis tools. Data Visualization: Creating and editing visual content including maps, charts, and graphs.
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3+ years of Kubernetes, Prometheus, Open Telemetry, Time Series Metrics, Capacity, Big Data, Machine Learning, or Synthetics monitoring tools experience. + 1+ year of experience in data analysis, data import and data feeds.
$111,100 - $237,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Combining intuitive enterprise technology solutions and data insights, the Policygenius marketplace, and market-leading products including SmartOffice, AnnuityNet, LifeSpeed, WinFlex, TPP, VitalSales Suite, and Exchange Consulting, Zinnia is redesigning the insurance experience for shoppers, advisors, and insurers alike — and enabling more people to protect their financial futures along the way.
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Provide support, proactive system health management, test data management and maintenance for mainframe systems, including z/OS, JCL, COBOL, DB2, CICS and VSAM. Technologies span mainframe, midrange, desktop, server, network data, voice, messaging, web, and database.
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big data jobs Title: hadoop Company: At T in Basking Ridge, NJ
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