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Experience with data analysis tools and programming languages (e.g., Python, R, SQL) preferred. Basic understanding of statistical analysis, financial modeling, and data visualization techniques required.
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The ideal candidate will be a quick and eager learner; be flexible, detail-oriented, organized, service-oriented, and resourceful; have excellent critical thinking and problem-solving skills; and have specific experience and expertise in research projects programming and utilizing survey software (e.g., REDCap, Qualtrics), statistical software (e.g., SAS, Stata, R), relational database management systems (e.g., Access, SQL), Windows infrastructure (file systems, security), and software support.
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Responsible for researching and modeling the most complex problems, discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research.
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Reporting packages, databases, and programming, knowledge and experience using statistical. includes the current Oracle E-Business CRM, existing Ava telephony, and any future solutions. This network allows them to tap into a pool of qualified candidates and connect them with suitable job opportunities.
$72,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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3-8 years of experience in turning ambiguous business problems and raw data into useful insights by applying critical thinking and advanced technical & statistical programming techniques.
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Partnering areas may include statistical modeling, machine learning, natural language processing, advanced analytics, reporting, data engineering, programming, and other areas to support Line of Business, Sales, Marketing, et cetera, to make impactful business decisions.
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Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc. Strong knowledge of and experience with databases (SQL), programming (XML, Javascript, or ETL frameworks.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. + A minimum of three (3) years of experience using R programming language (Python is a plus.
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SAS, SASEG, SPSS, and/ or SQL programming experience with large data sets. Prior experience with statistical modeling and/or predictive modeling. Develop and execute enterprise-wide analytic recommendations to support Prime's strategic imperatives and business drivers; leverage statistical and other data analysis methods to identify quality issues and possible solutions or process improvements.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Interpret data and analyze results using statistical techniques and provide ongoing reports.
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At least 3 years of Data analytics and/or statistics work experience, including experience in quantitative or statistical analysis, data mining, predictive or statistical modeling, applied programming, data management, data transformation, data visualization and/or quantitative or statistical research, or successful completion of Oracle Cerner 's Analytics Learning Lab.
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Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks.
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