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Utilize SharePoint SPFx, Power Platform, Windows Servers, Microsoft SQL, Visual Studio, Azure Cloud, Azure DevOps, Virtualization (VMWare or Hyper-V), C#, Java Script, T-SQL, HTML, CSS, JSON, Visio, InfoPath, Designer, PowerShell, Python, R and related technologies for application and solution development.
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Finally, the position requires experience using tools such as Advana, Python, SQL or the like to retrieve Program financial and tracking data to create dashboarding and other reporting functions.
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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). Developing a team of analysts, or personally using Python, R, SAS, or a similar language to solve complex business problems.
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Preferred Skills, Capabilities, and Experiences:Proficient in programming languages such as SAS/SQL/R/Python strongly preferred. Solid knowledge and hands-on experience with health economics and outcomes research (HEOR) or epidemiological study design strongly preferred.
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Proficient and in-depth experience in data modeling, Python and R development, user interface and/or experience (UI/UX) design and implementation. Six years of web application development and SharePoint custom solutions using C#, SPFx, Java Script, Angular, React, HTML, T-SQL.
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Experience in modern software architecture and software development related to data science, analytics and AI, e.g. Python, SQL, R. Experience working within a Big Data ecosystem, with tools such as Databricks, Spark etc.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Use Python and SQL to run queries and perform statistical analysis and advanced analytics activities within Databricks. 2+ years of experience with SQL and Python with the ability to understand and write queries and scripts.
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Demonstrable recent hands-on experience (at least 3 years in the last 10) in using modern software architecture and software development related to data science, analytics, and data integration, e.g. Python, SQL, KNIME, Pentaho or similar, and familiarity with working with semi-structured data (XML, JSON) and APIs. List the most relevant projects supported (no more than 3), tools/languages used, and nature of the source data (e.g. relational, free text, JSON/XML.
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Interact with enterprise data systems using Python, SQL Server Management Studio, ArcCatalog, and Alteryx to update GIS datasets and run spatial analyses. High proficiency with Esri ModelBuilder, Python, and ArcPy.
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Support Azure Cloud environment administration of USFF services including but not limited to Azure App Services, SQL Managed Instances, Key Vault, Virtual Machines, and Storage Accounts / Containers.
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Keywords: Health plan, Healthcare, QNXT, CSC, SQL, MS Excel, Excel, Microsoft Excel, Python, Remote, Alabama, Delaware, Florida, Georgia, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin, Wyoming.
$74,933.04 - $112,410.48 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data management and visualization skills / tools in one or all of the following (SQL, DAX, Python, Power BI or similar). Data management and visualization skills / tools in one or all of the following (SQL, DAX, Python, Power BI or similar.
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Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
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Must Have Skills: DBT, Snowflake, SQL, Python. Hands-on expertise with SQL and SQL analytics. Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Demonstrable recent hands-on experience (at least 3 years in the last 10) in using modern software architecture and software development related to data science, analytics, and data integration, e.g. Python, SQL, KNIME, Pentaho or similar and familiarity in working with semi-structured data (XML, JSON) and APIs. List most relevant projects supported (no more than 3), tools/languages used and nature of the source data (e.g. relational, free text, JSON/XML.
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