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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Experience with a variety of BI and Analytics platforms like Power BI, Tableau, DOMO, Looker, PowerBI, Alteryx, and advanced statistical analysis tools like SAS or SSPS. Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning.
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Proficiency in using Power BI or Tableau for data visualization and developing dashboards. Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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A working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering.
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Hands-on experience with data visualization tools such as Tableau, Power BI, and QlikSense. Collaborate with stakeholders to develop engaging data visualizations and interactive dashboards using tools such as Tableau, Power BI, and QlikSense.
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Administering, configuring, and customizing Power Platform, including PowerApps, Power Automate, Power BI, and related components. Education: Bachelor’s degree in Computer Science, Information Technology, Engineering or relevant field with a minimum of 5+ years of relevant experience or 10+ years of relevant federal Data Architect, Database Administrator, Data Manager, and / or Data Scientist experience.
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Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Develop, manage, and implement a holistic MF Data Science strategy.
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Experience developing dashboards on a data visualization platform (Qlik, Tableau, Power BI, etc. + Masters degree in a highly quantitative and computational discipline (e.g., data science, analytics, statistics, computer science, mathematics, engineering, etc.
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Experience with visualization platforms like Tableau, Qlik, Power BI, RShiny, Plotly, and D3. Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
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Foundational abilities with data visualization/business intelligence tools such as Power BI, Tableau, and Qlik. Data Science, Data Analytics, Artificial Intelligence, Machine Learning.
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Must have 3 years of experience with current data analytics and visual tools, including Power BI, Power Pivot, Power Query and Alteryx. Apply current tools and emerging technologies, such as SharePoint, MS Power BI, MS Power Pivot, MS Power Query and Alteryx.
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A working knowledge and understanding of the following concepts: Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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Experience with data analysis tools (e.g., SQL, Python, R) and reporting tools (e.g., Power BI, Tableau). Qualifications Bachelor's degree in Computer Science, Systems Engineering, Information Technology, Business Administration, Data Science, or related field.
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Experience working with or developing dynamic data visualization platforms for large data sets – using tools such as Power BI. A graduate degree in a quantitative discipline (e.g. power systems engineering, computer science, electrical engineering, mechanical engineering, physics, mathematics, statistics) with strong academic performance and applied research in power systems and modelingOR.
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