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Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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Leads and/or manages the development and implementation of a recurring schedule of analytics reporting on the Bank’s commercial and consumer loan portfolio using SAS, R, VBA, PL/SQL, PowerBI, and/or other tools.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1 and more.
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Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.
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The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
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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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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
$1Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
$1,054 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have working knowledge of analytic technologies (e.g. Alteryx, SAS, SQL, R, Python, Power BI, Tableau, Adobe Analytics, etc.) Experience working with data environments and strong knowledge in querying language and/or querying applications (SQL, Alteryx.
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Experience performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). Strong programming skills using SAS, SQL, or similar languages.
$99,160 - $189,530 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Agile Development, including Scrum and Kanban Methods, Communication, Complex Problem Solving, Data/BI/Analytics Tools (e.g., SQL, Tableau, Qlik, Business Objects, Python, R, etc.
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Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries. Financial Support - Develop robust qualitative and quantitative models and analytics for improving CCAR stress testing results and capital decision-making.
$118,768 - $160,686 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Analyzes external and internal customer data using database queries (SQL, Access), spreadsheet (Excel) models, web analytics tools (Adobe / Omniture), statistical analysis tools, and campaign managementsoftware tools.
$185,600 - $278,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Tableau, PowerBI, SSRS, and Microsoft SQL. DE performing data analytics in a Microsoft SQL Server environment, using SQL, Tableau, and PowerBI; and packaging and presenting data analysis findings to senior executives, using Tableau Stories and Microsoft Power Point.
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r sql adobe analytics jobs Title: analytics Company: Walmart in Holdrege, Nebraska
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