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are a must. Preferred experiences include using assessment tools and technologies, such as learning management systems, data analytics software, and Microsoft Word, Excel, and PowerPoint. Demonstrated
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process for incoming on-campus graduate students. Developing analytical and informational reports across multiple data sources, and extracting critical insights for marketing, recruitment, and conversion
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to complement the expertise of our full-time faculty during the Fall 2024 semester. This position involves co-teaching CMGT 564: Methodological Fundamentals of Big Data in Communication (focusing on analytics in
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perspectives to (1) identify gaps in the evidence about what does or could work, from multiple perspectives; (2) apply our analytic skills and methods to obtain, synthesize, and interpret relevant data in
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data from a wide variety of sources, including data entry and basic data organization. Creating graphs, charts and tables from data to present research results. Taking notes and keeping records for in
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stakeholders. Experience resolving inquiries and complaints, and presenting information to varied audiences and maintain confidentiality. Proven analytical skills, exhibiting fluency in specialized areas
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to deal effectively with people in a wide variety of job classifications. Ability to communicate technical information to non-technical personnel. Ability to maintain data and records. Strong analytical and
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will interact with faculty and researchers and learn about exciting new technologies in the areas of electronics, telecommunications technologies, computing and big data analytics, energy, nanotechnology
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accurate payment processes. Enter Research Assistant, Teaching Assistant, and fellowship award codes into SIS for approximately 2,000 PhD students (RA/TA/fellowship); enter student fee information into SIS
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Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and computational tools for analytics (proficiency with Python, R, and SQL is a plus). At a minimum, candidates