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Experience in a cloud platform (preferably Azure) and its related technical stack (e.g., Azure Data Factory, Synapse, DBT, Fivetran, Snowflake, Databricks, dremio, Airflow, NiFi). Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques.
$100,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) As a Senior Sales Specialist - Data & AI you will be a senior solution sales leader within our enterprise sales organization working with our most important customers.
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Proven experience as a Business Intelligence Analyst, Data Scientist, Data Engineer, Data Analyst, Power BI Developer, or in a similar role. Certified in one or more of the following: Microsoft Power App Maker Certification, Microsoft Data Analyst Associate Certification, Microsoft Data Scientist Certification, and/or Microsoft Data Engineer Certification.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Previous experience in information or data governance control activities, in the financial services industry Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Data Management Analysts (Data Management, Data Governance, Data Quality, Test Data Management, Data Architecture, Data Security, Programming (SQL, JAVA, Python, R), Data Analysis Software (e.g., Excel, SAS, SPSS), Knowledge of Database Query Language (e.g., SQL), Report Creation and Data Visualization (Tableau and R Studio), Understanding of Statistical Methods and Techniques to Analyze Data.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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This is a 12-month hybrid contract position which will be performed in Washington, DC. You will support the integration and maintenance of unstructured and structured data from digital surveys into their natural language processing (NLP) tool.
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Prior industry experience with forensic DNA profiling tools including: GeneMapper ID-X STRmix model maker Interpretation of complex STR profiles Stutter thresholds and calculator aids CE instrumentation and data.
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Understanding of data security and data privacy regulations relevant to building web applications that are compliant with Risk Management Framework (RMF), Defense Information Systems Agency (DISA) Security Technical Implementation Guides (STIGs) guidance, and National Institute of Standards and Technology (NIST) Special Publication 800-53 catalog of database security controls.
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Demonstrates proficiency in master data management and data governance principles. Provides end-user support for quality control activities, including data validation, review, and approval processes.
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data job Company: Kimpton in Arlington, VA
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