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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. 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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Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices. Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives.
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Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions. Bring industry domain knowledge for custom data and analytics strategies.
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We are seeking a skilled Data Engineer with a strong background in data pipeline creation, data visualization, and analytics. Proven experience in data engineering, data visualization, and big data processing.
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Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics. Advanced Analytics and Data Visualizations.
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Dashboard Development, data analysis & Visualization: Lead the design and development of dashboards utilizing PowerBI that provide real-time insights into Treasury operations, supporting data-driven decision-making.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
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About the role:Senior Power BI Developer with will be responsible for developing, supporting, and implementing business intelligence solutions using Power BI. This role will apply Microsoft Power BI across the enterprise to build new solutions for reporting and analytics, including model development, data visualizations, security, gateway setup and governance.
$125,430 - $149,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop reporting and data visualization solutions (dashboards) in the form of advanced dashboards and reports using Power BI that address business needs. Experience with data visualization best practices and principles.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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Using a variety of tools, including Google Analytics, to monitor web data, log data, and threat data analytics, to provide a managed flow of relevant information based on cybersecurity mission requirements.
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Design and implement custom algorithms, flow processes and layouts for complex, enterprise-scale data sets used for modeling, data analytics, and research purposes. The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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