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Create best-practice reports based on data mining, analysis, and visualization. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization.
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Preferred Qualifications: Strong data analytic skills and programming experience using languages and tools such as SAS, Python, R, Tableau, SQL, ArcGIS systems and others. ; Create and maintain an optimal data pipelines in programming languages including SAS, Python or SQL.; Build and maintain the solutions required for optimal extraction, transformation, and loading of data from a wide variety of data sources in both on premise and cloud environments.
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Build analysis through data mining to identify advertising campaign trends/opportunities for product optimization. Nice to have: Open source statistical software: R or Python (similar to SAS, SPSS, etc.
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Utilize SQL/SAS/R or other relevant statistical tools for data mining and predictive analytics. 2+ years of programming experience (SAS/SQL/R or other equivalent statistical programming languages preferred.
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Advanced data mining, performance metrics and reporting, vendor management, change management and report writing. About You: 7-10 years of of related business experience with emphasis in banking, information systems controls, and/or data analysis/management, requiredBachelor’s Degree in Business, economics or finance or the equivalent in eduacatin and experience, preferredAdvanced knowledge of business analysis, business management data systems, IT risk management, project management and technical problem resolution.
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Knowledge of RMFreporting & MS Office SuiteSkills in WLM, JCL, JES, ISPF, SMF data collection, SQL, TableauExperience providing rate analysis by modeling and forecasting revenue consumption of billed and non-billed resources.
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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced SQL programming skills, experience with big data technologies, and modern data visualization tools.
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Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Proficiency with data mining, mathematics, and statistical analysis. The CTCT division (a joint venture between Trimble and Caterpillar) develops positioning and control products for earthmoving and paving machines in the construction and mining industries, using technologies such as GPS, optical total stations, lasers, and sonics.
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Proficiency with data extraction/manipulation/mining tools (data processing and analysis) such as SQL, SAS. Some job boards have started using jobseeker-reported data to estimate salary ranges for roles.
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Expertise in one or more development or statistical analysis tool such as R, Python, SAS, SQL, SPSS, or other tools. The Data Scientist will apply and integrate advanced statistical, mathematical, data mining, and business analysis skills and techniques to uncover new behavioral insights, predict outcomes, evaluate decision pathways, and advise on turning new insights into actionable opportunities.
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Manages, develops, and reviews all strategic growth / diversification and financial business plans including potential mergers, acquisitions and divestitures. At Citizens we value diversity, equity and inclusion, and treat everyone with respect and professionalism.
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Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python) Experience with risk data, reporting, and analysis; including systems.
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Applicants must have the minimum of a Master of Science in Management Information Systems, Computer Science, Statistics, or a related field plus demonstrated knowledge in SQL, SAS, and Tableau programming languages and data extraction, reporting, and mining.
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Minimum Requirements: Experience with analytical / statistical programming tools for data extraction and summarization, statistics, and analysis (SAS, SQL, SPSS, R, STATA, MatLab, etc.
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