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Proficiency with MS Office Suite, knowledge of programming languages such as Visual Basic, SQL, R, Python or others. Knowledge of Data Visualization software such as Power BI and Tableau a plus.
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Participate in enterprise risk management initiatives, including catastrophe management and evaluation of industry model output. At Berkley Luxury Group we offer tailored, all-inclusive insurance solutions for luxury condo, co-op, rental properties and fine dining restaurants.
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Expertise with Python / R and SQL. Experience with Tableau or other Data Visualization tools. Leading bank is seeking a Data Scientist - Digital Marketing & Risk Management. Experience with Tableau or other Data Visualization tools.
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Experience with data visualization tools such as Tableau, Power BI, or similar - Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or similar - Proficiency in programming languages such as Python, R, or SQL.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
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Proficiency in data analysis tools and programming languages such as SQL, Python, R, or Excel for data manipulation and visualization. Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio to create interactive dashboards and reports.
Part-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of statistical methods and techniques for data analysis, hypothesis testing, and predictive modeling. Analyzing data using statistical methods, data mining techniques, and visualization tools to identify patterns, trends, and correlations.
Part-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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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.
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5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
$127,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Designing and developing the data engineering strategy to allow for a scalable and reliable data architecture supporting multiple platforms and considering data ingestion, transformation, and storage; supported with detailed documentation and maintenance of processes, methods and procedures including Python and SQL codes.
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Your expertise in utilizing Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data analytics and data modeling using Python, SQL and / or R. BI tools such as Tableau, Cognos and Alteryx. Experience with other forecast aggregation tools such a Anaplan and Essbase.
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Experience with programming languages such as Python, R or SQL. Experience visualizing/presenting data for stakeholders using: Power BI, Tableau or similar tools. Atlanta, GA, Austin, TX, Bellevue, WA (Seattle), Boston, MA, Chicago, IL, Columbus, OH, Dallas, TX, Des Moines, IA, Kansas City, MO, Minneapolis, MN, Plano, TX (Granite Parkway), Salt Lake City, UT, Seattle, WA (Downtown.
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Expertise with analytics tools (i.e., Google Analytics, Sitecore Experience Analytics, Power BI / Tableau / MicroStrategy or similar, Python and/or R, Excel) Develop and maintain processes for extracting, cleaning, and organizing data for analysis including implementing a moderate amount of code (Python, R, SQL, and some limited JavaScript) to enable completion of repetitive and complicated tasks and handle large amounts of data.
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