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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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If there is an issue with the TDP or the data s configuration, make corrections within assigned permissions and for other corrections, route the case to the correct Configuration Management, Technical Engineering, Quality Engineering, or Transportation Engineering team to make the corrections.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Generation Product Support team located in preferred locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
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The ideal Data Communications Manager candidate will have a combination of data visualization skills that illustrate the case for transformative climate policy; data science skills relevant to race, gender, class, and/or climate justice; and the ability to work across the Climate and Community Project’s diverse research areas to drive greater impact from our cutting edge research.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Generation Product Support organization, which develops a diverse suite of digital and data analytics capabilities and supports investments in defense platform capabilities for product support across a wide portfolio of US and non-US customers.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Proficient with statistical and data visualization software e.g. JMP, Minitab, SQL. Science or engineering background in a relevant field, i.e. BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field.
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Stay informed about industry best practices, emerging trends, and new technologies in people analytics and data visualization, and make recommendations for continuous improvement. Provide training and support to HR staff on data visualization tools and techniques, enabling self-service access to relevant HR data.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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modern data visualization engineering jobs Company: Chenega Corporation
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