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Expert experience using data visualization and reporting tools such as Tableau, MicroStrategy, Looker, Domo. Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization.
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This role involves performing detailed cost analysis, reporting, and data integration between financial systems, specifically leveraging OBIEE and Oracle EBS to provide accurate financial insights.
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Healthcare Analytics Practice (HAP) – Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information.
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The Data Steward will play a critical role in supporting the work of the DCAS Program Administration, Executive Steering Committee and DCAS Stakeholders. They also work with the DCAS Data Research, Analytics, and Management team to establish procedures for detection and correction of data-quality issues and collaborate to establish policies, procedures, and internal controls affecting the quality of data.
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Senior Data Scientist (Remote) BluePath Labs is looking for a senior data scientist to join our team in building cutting-edge artificial intelligence/machine learning (AI/ML) solutions supporting national security, research and development, energy, and other critical sectors.
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Primary point of contact for data visualization dashboards and their management. Data Science & Analysis. Four (4) or more years working with data. Works with Guidehouse, its partners, and the customer to build and maintain qualified, full-time staff and a pipeline of surge staff according to customer and mission priorities.
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The contractor shall create a semi-automatic process for the lexicon search framework that outputs data into a format consumable by the Insider Threat analyst. 8 years’ experience in Architecture Council Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
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Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA , Python and/or other programming languages; advanced Excel knowledge.
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As a Data Analyst, you will support NAVSEA in its roll out of Archibus to support Workspace Management (WSM). Gather data from sites, and analyze it for usability in Archibus. Experience with Archibus data management is a plus.
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Google Cloud Platform (GCP) Expertise: Utilize GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub to build, optimize, and manage cloud-based data infrastructure. We are seeking a skilled Data Engineer with experience in Google Cloud Platform (GCP), SQL, and ETL processes to join our growing data team.
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Review organizational programs, documents, reports, and data for policy implications and impacts on the USMS, districts, and the federal detention management system and assist the BIC with reconciling conflicts between policies and program goals.
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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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Extensive knowledge in Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.) A bit about us: As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI),data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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data job Title: cdl driver in Washington, Grove-city, Ohio
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