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As a Full Stack Developer DMS International, you will play a crucial role in the design, development, and deployment of software applications that utilize Python, Django, SQL Server, SPSS, and various third-party APIs. Your expertise will be instrumental in building robust and efficient solutions, providing a seamless user experience, and integrating with the Watson suite of products when necessary.
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Develop the template for an analytical database (such as SPSS, STATA, Epi Info, SAS etc.) Use quantitative software (Excel, SPSS, STATA or R) to process raw data and organize the preparation of data set codebooks.
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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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Minimum of five years of extensive experience in programming using statistical software such as SPSS, R, Winsteps, Stata, and SAS. Experience working with MS Excel, in a professional position or extended research project.
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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.
$83,381 - $142,786 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Demonstrated expertise with statistical software, such as, R, SAS, Stata, SPSS. Familiarity with the use of HTML5, CSS3, and JavaScript libraries for mapping and visualization (i.e. D3. Exposure to data science methods–such as machine learning, natural language processing, web scraping, and synthetic data—using version control and automated testing environments.
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Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc. Demonstrated experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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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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You have strong knowledge of Excel, PowerPoint, SPSS (XML, R, Python, or other statistical software packages a plus) - While you know the big picture, you have high attention to detail. While our syndicated products focus on the TMT industry, our custom research, both quantitative & qualitative, and data analysis work spans a variety of industries including eCommerce & retail; blockchain, Web3, and cryptocurrencies; financial services & real estate; politics, public policy & public affairs; CPG, FMCG, & FMPG; healthcare; and travel, transport, lifestyle, & hospitality.
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Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc. For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability.
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Developing statistical models using tools such as SAS, SPSS, SQL, R, Excel VBA, Microsoft Power BI, etc. Developing statistical models using tools such as SAS, SPSS, SQL, R, Excel VBA, Microsoft Power BI, etc.
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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. Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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Analytical background; strong communication, writing and editing skills; excellent organizational skills; detail-oriented knowledge of grants.gov, REDCap, SPSS or other statistical programs, Endnotes, Word, Excel, PowerPoint, other database skills, social media skills, website interfaces, survey databases, e.g., Qualtrics, SurveyMonkey, Google forms.
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IT skills and knowledge of software programs to analyze quantitative data such as SAS, SPSS, R, PowerBI, Epidat, Epinfo, Stata, or Tableau are essential. Desirable: A master's degree in communicable diseases, public health, epidemiology or related field, would be an asset.
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spss job in Arlington, VA
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