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DE developing reporting and dashboard solutions to define and track KPI and performance metrics, using Tableau, Power BI, and data visualization, trending, and benchmarking; and performing data extraction, transformation, and loading, using SQL and SSIS. DE analyzing, planning, designing, developing, testing, deploying, and supporting Business Intelligence (BI) solutions according to Agile Methodologies, using BI tools.
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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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Currently, the enterprise is a complex, multi-platform data environment (including some legacy Mainframe) consisting of Amazon AWS/Snowflake and Microsoft Azure, along with Tableau and Power BI. Technologies in use include Oracle, DB2, MySQL, and SQL Server, Tableau and Power BI, as well as desktop-based applications such as MS Access and MS Excel.
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Thorough knowledge of all aspects of Pharmacovigilance systems, such as Argus, Axway, Signal Management, Reporting and Analytics (Tableau, Spotfire), EDC, and AWS. Experience working on various Pharmacovigilance systems, such as Argus, AE Intake systems, Literature Management, Signal Management, Reporting, including aggregate reporting, and Analytics (Tableau, Spotfire.
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Proficiency with business intelligence tools (e.g., Tableau, Power BI) and data analysis software (e.g., Excel, SAS, R). Master’s degree in Healthcare Administration (MHA), Business Administration (MBA), Finance, Public Health, or a related field.
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This is a fantastic, varied role where every day is different, and where you will have the opportunity to work with a variety of software, such as Alteryx, Tableau, Power BI - and Power Platform (Power Automate, PowerApps) if interested.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) The Senior’s primary responsibility is to leverage strong technical skills (SQL, R, Python, and Tableau) and healthcare industry knowledge (payor, provider, pharmacy, public health, epidemiology, etc.
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And employ operations research analysis using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.) Proficiency in COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.
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Excellent working knowledge of Qlik Sense, Tableau, Excel, SharePoint, and other database systems. Analyze large data sets to build / generate regular and ad-hoc reporting in Qlik Sense, Tableau Desktop, Excel, and/or PowerPoint for relevant.
$130,920 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Certification in Snowflake / Alteryx / PowerBI / Tableau [preferred]. Data Storytelling and Visualization: Ability to effectively communicate insights and next steps through visualization tools such as PowerBI or Tableau.
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Proficiency with standard analysis tools (Advanced Excel / Tableau / Power BI / MicroStrategy) Good understanding of Capital and Balance Sheet Management, CCAR & CECL framework, Basel III Endgame.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence; e.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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In the role of Data Analyst, you will work across Data Analytics, Data Engineering, BI Engineering related tasks, exercising excellent problem solving, data wrangling and analytical storytelling You will be responsible for helping to transform data from our services and existing reports and Tableau dashboards into consumable data Explores and dashboards in our platform.
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tableau job Company: Brainstation
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