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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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You have strong skills in Python, R, SQL, and Hive queries. You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. SOSi is seeking a highly skilled Data Scientist to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama.
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Familiarity with industry tools and platforms such as: Alteryx, Python, R, AWS, SAS, SQL and Tableau. As a Data Analytics Intern , you will play a key role in developing a more data driven culture at Pacific Life. Interns will use industry leading tools such as Python, R, Sales Force, and Alteryx to help solve real world business problems.
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Have a Doctorate and/or J.D. degree and also have 1 year of relevant experience visualizing or manipulating datasets using analytical tools (such as R, Python, Tableau, SQL, TensorFlow, PyTorch, Bioconda, NumPy, SciPy.
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Builds complex models for specific analysis using technology such as Python (Python, PySpark), R, SQL, SAS, Databricks. Confidence in merging disparate datasets, INNER/LEFT/RIGHT joins, and functions such as COALESCE(), CAST(), SAS functions such as SUBSTR(), LAG(), PROC SQL.
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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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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Understanding of programming languages such as SQL, R, Python, VBA, SAS, C. Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate closely with internal and cross-functional teams to identify requirements necessary for the next generation of R&D data analytics. An excellent career opportunity is currently available for a Sr. RD Scientific Programmer within Honeywell UOP's R&D Data Transformation and Testing Group located in Des Plaines, IL. This position will involve the development, implementation, and support of data systems along with multivariate analysis applications leading AI efforts across R&D.
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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 perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
$91,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis. Significant Experience with large-scale, multi-INT analytics.
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Familiar with statistical analysis and BI tools and technology such as R, Python, SQL, SAAS, WebFocus, and SharePoint. Databases: Oracle, SQL Server, Informix. Proficient in CAAT applications using ACL, SQL, SAS, MS Access, or MS Excel or other similar tools.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science) to provide customized automated solutions across multiple business segments.
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r sql jobs Title: analytics Company: Proofpoint in Holdrege, Nebraska
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