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Knowledge of key OpEx and O&M systems sourcing (Technology, Hexagon, Document Management System, Subcontract Management, Construction Management, Maintenance, Mechanical Integrity, Plant Data Historians and Data Visualization platforms.
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Manage and mentor a team of data analysts, data scientists, and data visualization experts. Stay updated on the latest trends and developments in sports analytics and data science, and identify new opportunities and challenges.
$140,000 - $165,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Minimum 5 years experience implementing analytics, data warehouse, integration/ETL, data visualization, and/or Essbase solutions, preferably with Oracle's analytics cloud suite. This position performs the task of developing a deep understanding of Oracle Fusion Analytics Warehouse (FAW), Oracle Data Integrator (ODI) marketplace, Autonomous Data Warehouse (ADW), Oracle Analytics Cloud (OAC), and Oracle Cloud Infrastructure (OCI) to support the Center of Excellence in providing tailor-made and Oracle-delivered Reports to users.
Full-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bachelor's or master’s degree in computer science, Data Analyticsor related field, or equivalent work experience Python Data Engineering and analysis Data visualization Machine learning Understanding of emerging technical trends Strong communication skills – verbal and written – with all levels of stakeholders.
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Knowledge of digital humanities methods and technologies, including experience with digital publishing platforms such as Omeka or Wax, text analysis and data visualization software such as Voyant or Gephi, programming languages such as Python or R, and humanities data processing and curation applications such as Excel or OpenRefine.
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Familiarity with data visualization tools, such as Tableau, Power BI, or Looker. Ability to quickly adapt to changing business requirements and technologies in a fast-paced environment delivering real-time data applications using streaming data technologies like Apache Kafka, Google Cloud Pub/Sub, or Amazon Kinesis.
$180,000 - $250,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
$150,000 - $165,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
$97,500 - $176,250 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience in the visualization and/or analysis of location-based data using GIS software such as ArcGIS Pro, QGIS or R. Experience in building effective data visualization tools such as infographics and presentations created in Powerpoint, Canva, Piktochart or Tableau.
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Data visualization experience preferred (i.e. Tableau, Qlik Sense). Framing and communicating of complex data. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings sustainable and safe and even making it possible to breathe on Mars.
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You have data visualization skills with tools such as Looker, Tableau, Periscope, Pentaho, or Microstrategy. You possess a strong understanding of cloud data warehousing technologies (Redshift, Snowflake, BigQuery.
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The GPS AI & Data Operations offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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8+ years of experience with data visualization tools, such as Tableau, Qlik, PowerBI, d3. The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Experience working with various marketing tools required, including but not limited to: Customer Relationship Management systems (preferably Salesforce), Email Marketing systems (preferably HubSpot) and Metrics and data visualization tools (preferably Power BI.
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