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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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As the Hedging Analytics Manager, you are the heartbeat of our Mortgage Servicing Rights (MSR) and Fair Value Mortgage portfolio (FVMP) hedge strategy. Hedging Analytics Manager page is loaded.
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This role will closely monitor the evolution of policy, advocacy, and data around the 340B program, and drive development of materials to support Gilead’s 340B advocacy and informal internal 340B discussions.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Analyst - Capital Markets and Analytics The Treasury Asset and Liability Management Strategy (ALMS) team is hiring a Senior Associate to execute and research derivative hedging strategies, help manage Foreign Exchange and Interest Rate risk and develop code and digital tools to help integrate our data and reporting.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. Responsibilities: · Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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In doing so, they will help maximize the effectiveness of their voter outreach strategies based on rigorous statistical analysis of past election results, voter file data, polling, microtargeting models, and other analytics tools.
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This Business Intelligence Analyst Lead role is part of the Data Analytics team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics.
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Experience in advanced analytics solutions (data science, machine learning, data modeling, etc.) Bachelor’s Degree in School of Business, Information Technology, Data Analytics, Computer Science, Engineering, Statistics, or related technical or functional discipline.
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You will be involved in understanding digital asset trading and transaction data (across equities, commodities, fiat, cryptocurrency, etc.) As a data and implementations analyst, you will work closely with our Subject Matter Expert (SME), engineering and product management teams to understand and work across all areas of our public sector client solutions.
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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! Work with Product, Data Ethics & Privacy Office (DEPO), Architecture, and other Tech Leaders to ensure all work is completed, tested, and deployed in a timely manner.
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Regional Analytics Strategists will serve a vital role in ensuring that data is an essential component of the decision-making of the DCCC and congressional campaigns. Managing documentation on data that tracks progress on strategic roadmaps, including polls, qualitative research, campaign spending, and early voting trends.
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WSDOT’s Public Transportation Division has an amazing opportunity for a highly motivated professional to join our data analytics team as a Transportation Planning Specialist 4. This position will provide technical data analytics and transportation skills and knowledge that are necessary to lead studies, investigations, and program evaluations that yield insights we use to engage internal and external partners and facilitate collaborative, data-driven decisions.
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Minimum of seven (7) years of experience in data analytics, credit risk management or modeling in financial services industry required. In addition, the position is responsible for the development and management of a mortgage credit data infrastructure to support second-line analytics.
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Title: data analytics Company: University Of Maryland Global Campus in Mclean, VA
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