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This position will manage a team of Analytics Developers, ETL Architects, DBAs and Data Scientists and is responsible for the design, development, and project management of Analytics solutions, including but not limited to building, enhancing and supporting data warehouses, Data Marts - both on prem and in the Cloud, support Epic Cognitive computing data models and develop and support predictive analytics.
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Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Understanding of analytical and insight generation approaches in the biopharma industry including descriptive and predictive analytics, business intelligence and reporting, primary market research and competitive intelligence.
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Requirements: Requires a Master’s degree (or foreign equivalent), in Statistics, Business Analytics, or related field and 2 years of experience as Data Analyst, Statistical Analyst, Data Scientist, Pricing Analyst, Predictive Analyst, Modeler, Lead Consultant or related position performing Big Data Analytics.
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A Ph. D. in accounting, business administration, economics, engineering, finance, industrial/organizational psychology, human resources, political science, public administration, social work, statistics, computer science, management information systems (MIS), quantitative business analysis.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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Partner with the Business Intelligence Manager to design and implement robust data analytics systems and predictive models that support strategic initiatives and business growth.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's degree in Human Resources Management, Organizational Development, Business Administration (MBA) with a concentration in Data Analytics or Human Resources, Data Science or Analytics, Industrial-Organizational Psychology, Information Technology, or Management Information Systems preferred.
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Praescient Analytics, LLC is a Veteran-led, certified Woman-Owned Small Business (WOSB) founded in 2011 which specializes in implementing advanced analytics solutions across the defense, intelligence, and law enforcement communities.
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O Advanced enterprise planning, integrated business planning, scenario modeling, advanced predictive analytics. o Integration projects - experience moving from a legacy to any ERP system or consolidating legacy transaction systems into single (few) enabling technologies with focus on functional, process and/or data standardization.
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The Business Systems Administrator will be responsible for using their knowledge of software programs and business strategies to help HRL maximize application productivity, reliability, and scalability.
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Ability to analyze problems, develop and propose engineering solutions in a scientific manner using data-driven techniques and analyses (e.g., Data Analytics, Root Cause Analysis (RCA), Statistical Process Control (SPC), Six Sigma, Predictive Maintenance, etc.
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Solves business problems — Business to Consumer (B2C), Business to Business (B2B), quality operations, operations management, and automation — using Artificial Intelligence (AI) and data science techniques (Natural Language Processing (NLP), DL, ML, causal inference, predictive analytics, experimental design, and optimization.
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predictive analytics business systems jobs Title: data scientist lead
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