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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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ability to use In-memory capabilities of Tibco Spotfire, Spark as well as rich Machine Learning applications with easy to use Data visualization of Models using built in TERR (Tibco Runtime R engine) and Revolution R/R Studio.
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Knowledge of digital humanities methods and technologies, including experience with digital publishing platforms such as Omeka or Wax, text analysis and data visualization software such as Voyant or Gephi, programming languages such as Python or R, and humanities data processing and curation applications such as Excel or OpenRefine.
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Proficiency working with scientific computing languages (R / Python) and SQL; prior experience with BI/visualization tools (Tableau, Mode Analytics) a must. Four in five health plans and employers with a digital MSK solution trust Hinge Health, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, State of New Jersey, US Foods, and Verizon.
$107,500 - $192,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Knowledge of scripting languages for data retrieval and transformation (e.g., R, Python, SQL) is critical. Familiarity with business intelligence programs (e.g., Tableau, Power BI, Pentaho, Shiny) and leading practices in data visualization is desired.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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5+ years of experience with programming languages such as Python, Java, R. The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Bonus points for experience merging, enhancing, and analyzing large data sets utilizing technologies (e.g. SQL, R, Python) Advanced proficiency in Tableau, Excel and experience with financial systems and data visualization tools (e.g. SFDC, SAP BPC, Tableau, Einstein Analytics.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The candidate will also have experience with programming languages (e.g., Python, R, SAS, STAT), geospatial analysis (e.g., ArcGIS, GeoPandas), data management, data mining, quantitative analysis, and data visualization.
$119,331 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Any additional certifications or extensive experience in project management, data modeling, or programming languages (e.g., Python, R) would be a significant advantage. Employ advanced data analysis techniques and tools, including SQL, Excel, and advanced data visualization tools (e.g., Tableau, Power BI), to extract actionable insights, identify trends, and monitor key performance indicators (KPIs.
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Experience with programming languages such as Python, R, or similar languages used in model development. Familiarity with data visualization tools, such as Tableau, Power BI, or similar applications.
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Knowledge of coding languages or developer tools, such as R, Python, etc. 1 year experience with Python, R or other programming languages. Technologies: SQL, PowerBI, Tableau, Excel, Snowflake, Python, Salesforce, DBT.
Full-timeRemoteExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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5 years of experience working with one or more languages commonly used for data operations including SQL (e.g., PostgreSQL), Python, Scala, and R. Data Visualization: Familiarity with data visualization tools like Power BI to create visualizations of data for analysis.
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Working knowledge of data analysis tools (e.g., SQL/Python/R) and data visualization tools (e.g., Tableau, Power BI) is a plus- Demonstrated ability to turn data into actionable insights and strategies.
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Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R. Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem.
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Python, R, PowerBI, Tableau, PowerApps, Quickbase, ANSYS, GPROMs, SQL, AutoCad, SolidWorks, or others. Computational Fluid Dynamics, Finite Element Analysis, Discrete Element Methods, Discrete Event Simulations, Process Modelling, Molecular Dynamics or Reaction Kinetics Modelling, Artificial intelligence, Data Modelling, Data Wrangling, Data Visualization, or others.
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