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Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI). Technology and Tools: Evaluate and implement advanced HR analytics tools, technologies, and platforms to enhance data visualization, reporting capabilities, and self-service analytics for HR stakeholders.
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Proficient with Python, SQL, Graph/Vector databases/theory, R and visualization tools. Staying on top of the cutting-edge data science techniques and trends, implementing the technologies and ensuring higher quality products on projects.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Data Visualization Tools, Microsoft Power BI, Python (Programming Language), R Programming, Tableau (Software) Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau, Power BI.
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Proficiency in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software. Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from relational databases and flat-file sources.
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Proficiency in data analysis tools such as SQL, Postgres SQL, Java, JavaScript, Python, R, or similar programming languages. Experience with data visualization tools such as Domo, Power BI, or Tableau.
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Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3. Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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Proven experience with data exploration and data visualization and reporting tools like Tableau, SSRS, Dataiku, R, Python, etc. 2+ years Python/R or other statistical programming language.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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Uses relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Data Visualization – DOMO, Tableau Web Analytics – Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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This position will support SMECO business units with data requests, research, and statistical analysis including the use of programming languages (R, Python, SQL) and data visualization software.
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Appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana. for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc. (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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