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7 years of experience utilizing CRM tools including UNICA. 7 years of experience in database marketing utilizing SQL to perform data analysis. In the alternative, the employer will also accept a Bachelor's degree (or foreign equivalent) in Computer Science, Computer Programming, or a related field with 5 years of experience in database marketing utilizing SQL to perform data analysis, and the other above-mentioned experience.
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As a Data Protection & Privacy Analyst, you will help the Data Protection team make educated, thoughtful decisions on Risk Management. Data Protection and Privacy Analyst. As part of the EY Americas Data Protection (Confidentiality, Data Privacy) function, you will play a key role in facilitating compliance with applicable legal and regulatory and EY policy requirements, including by helping to update and maintain our inventory of data, processing activities, applications, and suppliers across EY’s business activities.
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This role will utilize Machine Learning or NLP/LLM modeling to improve data impact and efficiency. advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines.
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Provide actionable insights and recommendations to build the brand in retail environment by analyzing data from platforms like IRI, Nielsen, NPD (both syndicated and consumer), DOMO, JDA (ProSpace), providing critical intelligence and insights for decision makers on go-to-market plans, share, shelf, promotion, distribution, etc.
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Design, develop, adapt, and maintain data warehouse architecture and relational databases that support data mining. Senior Consultant- Data Engineering. Data security: Must be able to demonstrate an understanding of data security at rest and in transit.
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Orchestrated by adept technical architects with over fifty years of applied expertise, KYNITE is an advanced technology company specializing in the disciplines of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services.
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HR Analytics & Reporting: Collects, compiles, and analyzes HR data metrics from the Human Resources Information System (“HRIS”), management and employee surveys, employment records, government labor statistics, market data, and other sources, makes meaningful conclusions which translates into and recommends actionable plans.
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Showcase fluency with the Java programming language, Kotlin, the Android SDK (versions 5.0 and up), Dalvik VM, ART, memory management, strong command of object oriented principles, data structure optimizations, security, IPC, App Modularization, third party service integration.
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Physics, Computer Science, Materials Science, Mechanical Engineering, Electrical Engineering, Mechatronics, Data Science, Other technical backgrounds. Physics, Computer Science, Materials Science, Mechanical Engineering, Electrical Engineering, Mechatronics, Data Science, Other technical backgrounds.
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Obtains the patients history and basic medical data such as vital signs, temperature, height and weight, vision and chief complaint. Computer skills/data entry (including Microsft Word, Excel and Outlook.
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We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently.
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8 or more hours each day availableProcess all referrals for Medicare Certified Home Health servicesQualify all intake requests for both clinical appropriateness and financial reimbursementEnsure all intake data is accurate Articulate an understanding of Skilled Home Health services in all communication with referral sources and team membersExhibit excellent customer serviceWork closely with scheduling, Billing, and Quality departments Qualifications: Licensed Practical Nurse.
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Help build data science models to predict best execution methodologies or best counterparty. You’ll gain experience in working first-hand with experienced traders and data scientists to research andapply the latest quantitative techniques to solve business problems.
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Education: Bachelor's Degree, preferably with a quantitative concentration (e.g., statistics, data science, mathematics, engineering, operational research, computer science, or economics). Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data.
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This position involves leveraging established relationships in the Retail Real Estate space, utilizing company insights, predictive analytics tools, and extensive data analysis to develop, execute, lead, and drive a sophisticated, go-to-market real estate strategy.
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