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The role requires expertise in programming (SAS, R, Python, SQL, or STATA) and quantitative analysis. 3+ years of experience in programming (SAS, R, Python, SQL, or STATA.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Seeking a dynamic, goal-oriented Health Data Analytics Consultant to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
$88,000 - $173,200 a yearRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. 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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Analytics applications (Such as R, Python, SAS, STATA, MATLAB, etc.) 2+ years of experience in Python and cloud-based SDKs for data manipulation, scripting, and automation.
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Utilize analytical software tools and programming languages (i.e., Python, R, SAS, VBA, SQL, HTML, JAVA) to pull information from multiple sources, assemble and analyze facts, and draw conclusions to produce valid and reliable findings.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Experience with at least one of the programming languages such as: JavaScript, Java, Python, or other.
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Arc, SAS, R, Java, C, MATLAB, ScaLa, or Python. Utilize programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python to accelerate large data transactions across industry-leading GPU architectures to answer analytic questions.
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Demonstrated experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) Maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.
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Web development experience with React, Vue.js, Angular, or other technologies. Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI. Experience with Kafka, NiFi, MuleSoft, Boomi or other integration technologies.
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I.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana. for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.
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Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.
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