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The primary role of the Senior Director of Operations and Analytics is to lead and manage multiple teams within the Engineering and Product Management Division. Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in one or more of the following is required: data management including relational database design and management, data ingest and data curation; data analytics including machine learning, deep learning, and artificial intelligence; data visualization including UI development; full stack development, including HW and SW architecture, VM technology and management, and software engineering; data export including API development.
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Possessing skills in Data Migration and Management, Data Governance, Reporting and Analytics, Planning and Consolidation, Cloud Databases and Advanced Analytics; In joining our data and analytics team, you’ll work with our clients to leverage SAP applications to transform their data management and governance and analytics processes by enhancing their core transaction processing and reporting competencies ultimately strengthening their ability to support management decision making and corporate strategy.
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Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering, Operations Research, Supply Chain Management, or other relevant field. 5+ years job experience in data analytics, data science, biotech industry, and/or supply chain management.
$74,000 - $113,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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By leveraging enterprise tools, technologies and code, we are able to build data pipelines, Business Intelligence tools, automation frameworks, web tools, to create a comprehensive data ecosystem that supports Credit Risk Management via analytics, modeling and reporting.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
$87,000 - $91,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Peraton's DSCM program encompasses technical, engineering, data analytics, cyber security, management, operational, logistical and administrative support to aid and advise DoS Cyber & Technology Security (CTS) Directorate.
$104,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficient in Azure services, data engineering, and data visualization; excellent problem-solving and project management capabilities. Bachelor's degree or higher in Software Engineering, Computer Science, Information Technology, Data Analytics, or a related field.
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The candidate should have a strong background in one or more aspects of the data analytics pipeline, with hands on Systems Engineering for data analytics pipeline development.
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The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services.
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Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Qualifications Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
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A Bachelor's degree in Computer Science, Computer Engineering, or Management Information Systems. Expert in Prism pipeline development and data preparation in Workday Prism Analytics.
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You’ll utilize Azure services to design and implement a scalable enterprise data platform that supports data management, integration, analytics, and decision-making while researching innovative technology solutions to drive the business and technology forward.
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We are building the next generation of sales products and tools to accelerate growth at AWS. The AWS Sales Insights, Analytics, and Data Engineering & Science (SIADS) team is looking for an Analytics & Insights Lead to support Generative AI (GenAI) reporting and insights development.
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Experience with SQL and DBMSs Knowledgeable about workflow management platforms and data warehousing toolsKnowledgeable about data governance standards, strategies, and best practices Passionate about data, data analytics, and data warehousingStrong analytic skills, attention to detail, ability to multi-task, troubleshoot and problem solve along with the ability to make recommendations based on analysis are extremely important.
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data management engineering jobs Title: analytics in Mclean, VA
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