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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 4 years of experience as a BI Developer, Data Analyst, Business Analyst, Operations Analyst, Data Engineer, Database Developer, and/or Technical/Systems/Application Analyst OR Minimum of 6 years of experience as a BI Developer, Data Analyst, Business Analyst, Operations Analyst, Data Engineer, Database Developer, and/or Technical/Systems/Application Analyst.
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Reporting to the President and CEO, Medical Group or designee, the Lead Business Intelligence Analyst (BA) will serve an instrumental role in the Ambulatory Services department at the Martin Luther King, Jr. Community Medical Group (“MLK CMG.
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Degree : Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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The team is skilled in all phases of risk and resilience, from understanding global regulatory requirements and leading practices to designing and implementing right-sized capabilities throughout the business, technology/ cybersecurity, and third-party risk management lifecycles.
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OR Bachelor’s degree and 10+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience. To be considered for this opportunity you must have a Master's degree completed by start date and 6+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field; M Pharma (or B. Pharm work experience), Masters in Business Administration.
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The department's current areas of strength include cybersecurity, artificial intelligence, machine learning, data science, smart and connected systems, cyber-human-physical systems, high-performance computing, wireless networks, Internet-of-Things, and quantum computing.
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At least one (1) year of experience in field relevant to business unit (, community health, diversity, education, training, sponsored research, grants management, library science) required.
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Graduation from an accredited four-year college or university with a major in Criminal Justice, Business Management, Information Systems, Government, History, Statistics, Social Science, or a related field is preferred.
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Possess strong development experience with Business Intelligence Tools (such as Tableau, SAP Business Objects, Microsoft Power BI, SAS) A Bachelor’s degree, preferably in Computer Science, Data Science, Math, Economics, or a related field.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Aii is a multi-college initiative at UCF involving the Colleges of Engineering and Computer Science, Sciences, Medicine, Business, and Optics and Photonics. College of Engineering and Computer Science (CECS) - Computer Science.
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This must be in computer science, computer engineering, management information systems, or a related discipline. Strong experience with large, high performing retail systems and models including product catalog, business intelligence, finance, supply chain and payment processing.
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Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark ), and associated data science libraries (scikit-learn.
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