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Monitor campaign performance metrics, including conversion rates, ROI, customer acquisition, and retention, and recommend optimization strategies to maximize results. Strong experience in data analysis, data mining, and statistical modeling techniques.
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Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years.
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Conducts Performance Improvement plans based on clinical needs and current standards related to DPH, CMS, and the Joint Commission. Conducts performance improvement projects based on current standards related to DPH, CMS, and the Joint Commission.
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Analyze and build a perpetual pipeline of new prospects and customers in line with the Skin Creative business strategy, including market analysis, competitive analysis, consumer, and category insights, etc.
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In conjunction with Hospital Departments and Committees; e.g. Legal Office, the Hospital Safety Committee, Laboratory Medicine and Performance Management colleagues, works to assess the impact of quality projects on clinical operations as well as gauge readiness and compliance for internal and external surveys, and adverse event and complaint investigations by CMS, DPH/DOH, TJC, and others as needed.
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Establish manufacturing processes that meet all KPI targets for capital investment, part cost, scrap, part performance, delivery, layout, cycle time, efficiency, safety, ergonomic, and quality deliverables.
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You are expected to create, implement and maintain the site strategy on EHS, by implementing and maintaining the site environmental, health, safety management system, ensuring compliance with all GE, relevant statutory, regulatory, contractual and company requirements, defining and monitoring actions to improve EHS performance, and leading the EHS team members.
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Ensure models developed are reliable, stable, and accurate using both quantitative (statistical) and qualitative techniques, such as sensitivity analysis, back-testing and benchmarking model performance using programming languages, such as SAS, R, and Python, and VBA. Provide insight regarding model performance and soundness of results.
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Demonstrate competency in selling, in-depth understanding of the market, buying processes, account development, sales relationships, consultative selling, analysis of performance issues, networking, and prospecting skills.
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Utilize scheduling tools and methodologies to perform critical path analysis and assess project performance and risks. We're looking for an Integrated Master Scheduler to join our dynamic team.
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Practical experience in creating and leading talent acquisition strategies, performance management, succession planning, and employee engagement initiatives. Oversee and optimize the employee engagement survey system, including data analysis, trend identification, and the development of action plans in response to feedback.
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Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture. Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.
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Management and execution of a variety of customer service and value-added service requests/inquiries including but not limited to: account activity; policy administration and insurance placement; billing activity; claims administration; coverage/loss analysis; contract review for insurability; review policy forms and endorsements; review audits; identify errors and facilitate corrective actions; Certificates of Insurance; Evidences of Property; and Cancellation/Reinstatements.
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May require ability to analyze and interpret web traffic and campaign performance data to extract insights and drive optimizations to enhance ROI. Implements campaign market analysis and performs forecasting for marketing to achieve sales objectives.
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Strong knowledge of statistical techniques and machine learning algorithms for predictive modeling, including regression, classification, clustering, and time series analysis. Proficiency in programming languages such as Python, R, or SAS, and experience with data manipulation and analysis libraries.
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performance analysis jobs in Stratford, CT
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