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Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, SQL, Python, and R. Also required are experience in quantitative analysis, model development and implementation using SAS, SQL, R, and Python.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS.Preferred:Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Experience in any of the following programming languages: Python, R, MATLAB, Java, C. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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Support analytics team to execute data strategy and review analytic scripts (Python, Databricks, SQL, ACL). 1+ year(s) of experience in Excel, ACL, Python, SAS, Alteryx, R, SQL, or other advanced analytical programs.
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Experience with one or more programing languages:e.g. R, Python, Pig, Java, JavaScript, and/or SQL.Demonstrated experience with two or more modeling software suites in the absence of programing knowledge:e.g. FME, SPSS, SAS, ArcGIS ModelBuilder, or similar.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Desired Skills: Coding and visualization skillsets preferred (R, Python, Shiny, Ggplot2, Matplotlib etc. The Data Analyst Intern at D.C. United will assist in enhancing processes and soccer operations efficiency through data-driven insights.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP. 3+ years of relevant experience with a bachelor’s degree.
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Data Analytics solutioning experience in AWS cloud using AWS native services (EMR, Redshift, Athena etc, Apache Spark framework and using Python, or R. Average knowledge on big data ecosystem and good knowledge on services like AWS EMR, Sagemaker.
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Experience using desktop applications and software used for data/statistical analysis, manipulation and visualization including Tableau, Python, R, SAS, SQL, is a plus. Experience with data visualization tools and approaches (e.g., Tableau, Datorama, Google Data Studio) for reporting and dashboards.
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Proficiency in object-oriented programming languages such as Python and Java and/or experience with computational analysis tools like R and MATLAB. Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark;Analyzing large data sets using Python, R, SQL and/or Spark;Generating and visualizing data-based insights in Tableau or Power BIMicrosoft Office software such as Word, Excel, PowerPoint and Teams;Jupyter notebooks, Python, or SAS;Data mining and statistical modelingAdditional InformationWorksite: Washington, DCThis is a hybrid position.
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Technical Knowledge: Demonstrated knowledge with some of the following software/tools: Apache NiFi, AWS Cloud environment, Java, Python, NodeJS, SQL, R, Hadoop, PySpark, Java, Git, Bash, Linux/Unix based OS.
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