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The Senior Associate will be responsible for assisting with digital forensics, e-Discovery, cyber security, and data analytics projects resulting from the identification, collection, analysis, and processing of ESI.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work across client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling.
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PERFORMANCE IMPROVEMENT FOCUS: Actively participates in data collection, analysis, problem solving and gives input on process improvements and patient satisfaction. Message & data rates may apply.
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Performs ongoing, systematic collection and analysis of patient data pre – during – post hemodialysis treatment for assigned patients and documents in the patient medical record, makes adjustments or modifications to treatment plan as indicated and notifies Team Leader, Charge Nurse, Supervisor or Physician as needed.
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Personally and effectively develops and maintains long-term and short-term load forecast data requirements, data collection, data processing, exploratory data analysis, modeling and algorithms, and data product.
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Ensures correct laboratory collection processing and shipping procedures are performed and reschedules missed or insufficient laboratory collections. Must have a minimum of 9 months experience as a RN. Must have a minimum of 3 months experience in chronic/acute hemodialysis as a RN. EDUCATION and LICENSURE: Graduate of an accredited School of Nursing.
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Knowledge of OSINT data collection including sourcing, ethical considerations, and operational security. Deep understanding of Google Sheets, SQL, and data analysis tools. Complete fraud data analysis and synthesize findings into easy to understand and actionable recommendations.
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Ensures documentation in eQUIP and utilization of data, benchmarking, and graphical representations in performance improvement activities. Analyzes, manages, and reports data as needed to identify improvement opportunities and measure the progress of improvement projects.
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Data Collection, Analysis, and Storytelling – Works independently to gather, analyze, and interpret data to make informed decisions about training providing proactive insights to business leaders.
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All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care policy procedures standards of nursing practice state and federal regulations. As a member of the End Stage Kidney Disease (ESKD) health care team this position participates in decision-making teaching leadership functions and quality improvement activities that enhance patient care outcomes and facility operations.
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May be assigned specialty responsibilities in the areas of refunds, reconciliation, balancing and/or posting and in data collection and analysis. Performs duties relative to financial aspects of patient care, including financial counseling, billing and collection of accounts.
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Security Information and Event Management (SIEM) systems, event collection, content development, and log data optimization. Engage in the Incident Response Lifecycle to mitigate, circumvent, and prevent attacker objectives; including the validation and authorship of use cases and functions leveraging event data, SIEM log analysis, and network data analysis tools.
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Drive the proper usage of statistical process control, process data collection and analysis. Qualifications: 3+ years supervisory experience in a manufacturing environment Associates Degree required, Bachelor Degree in Business Management/Administration preferred Knowledge of Lean Manufacturing Proficient computer skills Strong planning and organizational skills Analytical and decision making abilities Effective written and verbal communication skills Superb people skills at both hourly and staff levels Conflict resolution skills Ability to work accurately with numbers.
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The EDiscovery Management Department (EDM) is responsible for advising and supporting litigation lawyers through all phases of the eDiscovery lifecycle, including data collection, processing, culling, analysis, and production.
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Experience with sensor data collection and analysis or a measurements class is a plus. Participate in the on-machine data instrumentation, collection, and analysis.
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