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Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates) Works with their teams to ensure data accessibility, accuracy, and quality.
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Review and analyze data across a wide breadth of areas including capital expenditures, working capital, product development (ROI), asset/liability management, product pricing, profitability, cost center expenses, etc.
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Performs catastrophe modeling analyses using catastrophe modeling software for the assessment of data input, model set-up, model execution, result extraction and loss analytics. Assists evaluating catastrophe management software and models and exploring industry best practices and business strategies in earth science technologies partners, and to assist fellow catastrophe risk management team members to provide the catastrophe related insights and recommendation.
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Execute tests, collect and analyze data, identify trends and insights in order to achieve maximum ROI in paid search campaigns. The Paid Search Media Specialist is responsible for managing all paid activities across advertising platforms.
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Maintain strong relationships with influencers to enhance brand partnerships, track performance metrics to optimize content strategy and influencer collaborations and develop recaps to report on performance metrics and derive actionable insights.
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Utilize advanced data analysis techniques (JMP, MINITAB, MATLAB, PYTHON) to extract meaningful insights from reliability data. In-depth knowledge of wafer fabrication processes, packaging technologies, and semiconductor device physics.
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Knowledge and experience with platforms and tools such as AEM (Adobe Experience Manager), Sharepoint, Google Analytics, Adobe Analytics, Google AdWords, Bing AdWords, Workfront, Jira, Confluence and Google Search Console.
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Data Protection experience with Veeam, Rubrik or Cohesity. Highly skilled teams of engineers and solutions architects with deep expertise across cloud, security, networking and modern data center infrastructure help customers acquire, deploy and operate technology that delivers impactful business outcomes.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Using a proactive and data-driven approach, Collegis Education empowers institutions to make a broader impact by providing insights that help grow enrollments, improve student outcomes and optimize expenses.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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National Grid Renewables is hiring a Data Scientist to improve our suite of machine learning products. Candidate for an undergraduate or graduate degree in degree in Computer Science, Data Science, Electrical Engineering, Social Science or quantitative fields.
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AEs power solutions enable customer innovation in complex applications for a wide range of industries including semiconductor equipment, industrial, manufacturing, telecommunications, data center computing and healthcare.
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The Data Analyst 3 will develop and provide significant business insights to help business leaders make better decisions. Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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