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Hands-on experience with Autonomous Systems, Big Data Analytics, AI, Machine Learning (ML), Data Visualization, and advanced statistical techniques is highly desired. Comprehensive expertise in a wide array of systems and technologies, Department of Defense (DoD) or equivalent Command, Control, Communication, and Computers (C4) systems, data science, big data analytics, ML, AI, and cognitive science is ideal.
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Proficient with querying relational databases (e.g., SQL), big data service (e.g., Redshift or Big Query) and utilizing data visualization tools (e.g., Tableau) to interpret and present data insights.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Conceptual knowledge of big data, machine learning, or data science. Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization.
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Strong knowledge of data management and modern data warehouse (Snowflake, Big Query) and ELT data acquisition/model building tools (Rivery, Fivetran), as well as dbt. Expertise in business intelligence, data visualization and dashboarding platforms (e.g., Tableau, Dataiku, Looker, etc.
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Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
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Experience with Domo, Power BI, Tableau, or other data visualization software. Key tasks include budgeting, forecasting, complex business analysis, reporting, analyzing key trends, ROI analysis, data visualization, and recommending potential strategies to management to ensure that we achieve our financial and non-financial targets.
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The Senior Data Analyst will be supporting the Combatant Command Intelligence Enterprise Management Support Office (CCI EMSO) in the mission areas of Data Engineering, Data Science, Data Analytics, and Information Visualization.
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3+ years of relevant experience as a data scientist in technology, e-commerce, finance, or ad-techGood command of SQL, ETL, and A/B testingExperience coding in Python or RExperience with data visualization platform like Looker, Tableau, etc.
$77,000 - $189,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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A minimum of five years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., We are seeking an Chief Data Architect to join our team supporting ODNI HALO.
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Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures.
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Experiences in databases and SQL, and in big data/cloud platforms such Azure, snowflake and Spark. Skilled with data visualization tools such as Power BI and Tableau, for reporting model outputs, data trends, business issues, or exceptions.
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Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce. Experience with data visualization and business intelligence tools like Tableau.
$183,400 - $238,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
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Experience with data visualization tools such as Tableau and Power BI. Experience with big data technologies such as Hadoop, Spark, and Kafka. Experience with data warehousing and data mart technologies such as Snowflake, Redshift, and BigQuery.
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