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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Analyze data and build predictive models using tools such as Python and R to support product development.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Insights are derived from a multitude of sources including but not limited to overall satisfaction (OSAT), member channel satisfaction (MSAT), member experience instrumentation (MEI), Bain NPS Prism, call/chat transcripts, natural language processing, and more.
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What sets you apart: 2+ years experience with USAA surveys including but not limited to Bank & Credit Card Overall Satisfaction, After Call Survey, Digital Experience, Bank Member Experience Instrumentation, Chat Experience, Always On Feedback, etc.
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Familiarity with one or more platforms or tools used by Earth and environmental researchers, such as Python, R, MATLAB, or ENVI/IDL; The Earth and Environmental Sciences Research Facilitator can expect to work with researchers from UCSB's award-winning Environmental Studies, Bren School of Environmental Science & Management, Marine Science, Geography, and Ecology, Evolution, and Marine Biology departments among others.
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Strong experience with SAS, R, Python or other statistical software tools. experience with SAS, R, Python programming or other programming languages. ACAS or FCAS designation, or commitment to attaining the FCAS designation.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology.
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Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.
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Technology Utilization - Leverage data management and analytics tools, such as Excel, Domo, SFDC, SQL, Python, R, and Tableau, to streamline data processes and enhance analytical capabilities.
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Experience working with Python, R, particularly for ETL or Data Science related tasks. Experience with modern reporting and analytics tools such as Business Objects, PowerBI, Tableau, Domo, Qlik, Looker, Alteryx.
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Required technical skills Data Visualization / Data Science (Machine Learning) / Enterprise Resource Planning (ERP) skills (e.g. Python, Tableau, Spotfire, MATLAB, JavaScript, MS Access, My SQL, Minitab, JMP, Statistics, VBScript, C, R Studio, SAP, BAAN, Oracle, Advanced Excel, C.
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Proficiency in scripting and programming languages (Arcade, Python, R, SQL, Java/React. Demonstrated expertise in programming languages common to GIS (Python, JavaScript, or C#) Complementary GIS developer skills in addition to the core GIS analyst abilities.
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Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica)Familiarity with Analytical Workbenches such as R/Python, Alteryx, Dataiku, KNIME, AWS Sagemaker etc.
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Exposure to SAS, Python, R, Tableau preferred. Carnival Corporation & plc and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. Carnival Cruise Line is the most popular cruise brand in North America and operates a fleet of ships designed to foster exceptionally safe, fun and memorable vacation experiences at an outstanding value.
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High level expertise in use of statistical software such as SAS, Stata, R, Python or similar data analytic software. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark’s University Hospital in Newark, and other affiliates.
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