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Reporting to the Director of User Experience, the UX Business Intelligence Analyst will be responsible for generating, staging, and analyzing user experience data, deriving and displaying insights in an appealing and impactful way, and implementing business intelligence solutions to enable continuous monitoring and self-service UX analytic capabilities.
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Preference will be given to applicants with a degree in fields related to decision science and analytics, with prior experience in institutional research or institutional effectiveness, or with skills in data management and statistics (Excel PivotTables, STATA, SPSS, SAS, R, Tableau.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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MINIMUM REQUIREMENTS: Bachelor’s degree in Computer Science, Information Systems, Business, Accounting, Finance, Data Science, Engineering, or a related field and 2 years of work experience in one or a combination of the following: IT Audit and/or Financial Services.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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Our Animal Health Marketing team takes a customer centric perspective using customer feedback and market intelligence data. Must have a Doctor of Veterinary Medicine (D.V.M) degree and (or) PhD in Cattle specific animal science.
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The Actuarial Intern will support product pricing and business intelligence for Group Life and Health Reinsurance. The Actuarial Intern will utilize various data sources to update models that provide relevant information to aid short, mid, and long-term decision-making from both a product reinsurance pricing and business development perspective.
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Major(s): Any of these or related: Computer Science/Engineering, Software Systems, Management and Engineering, Information and Data Management, Artificial Intelligence, Business Management, Business Finance.
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Specialization in data science, machine learning, or artificial intelligence is preferred. Experience: Proven experience in data science roles, with a track record of applying statistical analysis and machine learning techniques to real-world problems.
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1-2 years of experience in coding and data mining/analysis tools and Business Intelligence tools with prioritization for candidates with experience using Power BI, SQL, and R or Python.
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The CO+I Infrastructure, Planning and Acquisitions (IPA) Long-Range Planning Data Science team delivers Microsoft's Long Range Infrastructure plan using state of the art econometric/machine learning (ML) models, risk simulations and business intelligence.
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The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.
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Accounting, Data Processing/Analytics/Science, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Mathematics, Engineering, Finance.
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Data Warehousing / Analytics: schema design, business intelligence, SQL, partitioning strategies, clustering strategies, data sharding. SADA has also been awarded Best Place to Work year after year by the Business Intelligence Group and Inc. Magazine , and was recognized as a Niche Player in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$100,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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SPSS, STATA, R) and proficiency in business intelligence development (ex. Conducts research and analyzes data for decision making and policy implementation in areas including (but not limited to) faculty data, student retention/attrition, student goal attainment, financial aid optimization analysis, enrollment management modeling and forecasting, resource utilization, school costs and productivity related to operating and research funding, access and equity studies, and functional benchmarking specific to higher education.
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