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Overseeing teams and programs 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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3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred) We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility.
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Collects, cleans, and maintains project-specific quantitative data, ensuring adherence to relevant federal data security standards; conducts quantitative analysis using analytic software (e.g., SPSS, Stata, SAS, R, Python) and interprets findings; prepares clear and concise written reports of findings suitable for client review.
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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Demonstrate experience with and management of research projects using data analysis tools and software packages (SAS, Stata, SPSS, R, Python, ArcGIS, NVivo, Atlas. Possess a master's degree, PhD, or equivalent academic and professional experience in a relevant field such as Urban Planning, Economics, Public Policy, Sociology, Public Health, Anthropology, Political Science, or other Social Science with a demonstrated focus on relevant policy issues and policy-related research skill sets.
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Strong quantitative data analysis skills and experience working with SAS, SPSS, STATA or a similar statistical software package. As of July 2021, there are ORS Public Health Analyst (PHA) and Drug Intelligence Officer (DIO) positions in 50 states, Puerto Rico and the U.S. Virgin Islands.
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A good command of statistics, sampling methodologies, and statistical analysis software such as SPSS, STATA, NVivo, among others, managing complex data collection and analysis efforts. Knowledge/experience working with multi-lateral and bilateral donor agency activities and policies/procedures (e.g., United States Government (USG) agencies, such as USAID, State Department, Department of Defense; other agencies like United Nations, World Bank, foundations, etc.
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The Data Engineer and System Administrator will have primary responsibility for supporting, maintaining, administering, and upgrading the database appliances, analytical servers and storage, and analytical software Cornerstone Research uses for client work including Red Hat Enterprise Linux, Ubuntu, AIX, Netezza, R, RStudio, SAS, Stata, MATLAB, IBM Spectrum Scale, and IBM Spectrum Protect.
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Proven programming skills in Visual Basic (VBA); Matlab; Stata and/or other similar programs. Experience working with large databases and using specialized statistical packages (e.g., STATA, SAS) is required.
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Must have strong quantitative skills, including experience with the latest econometric methods and familiarity with software packages or programming languages used for data analysis (such as Stata, R, Python, MATLAB, 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 with SQL for data manipulation and R, Python, or Stata for statistical programming. Experience with SQL for data manipulation and R, Python, or Stata for statistical programming. The Research Scientist will lead the production of new products related to risk adjustment and analytics that leverage rich data sources including national CMS reports, payer claims, electronic health records, and performance and financial data models.
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Proficiency in data analyses using statistical tools such as SAS, Stata, and GraphPad Prism. to oversee data management and analysis support for the clinical research activities conducted by the Walter Reed Army Institute of Research (WRAIR) Military HIV Research Program (MHRP), the Emerging Infectious Diseases Branch (EIDB), and other affiliated programs.
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To oversee data management and analysis support for the clinical research activities conducted by the Walter Reed Army Institute of Research (WRAIR) Military HIV Research Program (MHRP), the Emerging Infectious Diseases Branch (EIDB), and other affiliated programs of our Client.
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Experience in implementing statistical tools and machine learning algorithms and libraries like Python, Matlab, R, SAS, Stata, etc. Candidate must have experience with Databricks Informatica and Snowflake.
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stata job in Falls Church, VA
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