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Collaborate with other NFL League Office departments that touch club business, including Club Digital Strategy team, Media Strategy Group, Sponsorship, Marketing, Consumer Products, Club & Labor Finance, and Data & Analytics.
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Data Strategy: Experience developing or contributing to Data Strategy and knowledge of 2nd and transparent 3rd party (non-DMP) data sources for the purposes of data partnerships and audience building.
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Utilize data visualization tools (Google Looker Studio, Tableau, Google Sheets) to produce new reporting metrics and visualizations for leadership. Experience with data visualization tools (i.e., Tableau, Looker, Data Studio.
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The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs.
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10+ years of demonstrated experience in data engineering, data architecture, data visualization, and/or data science. Lead the Data & Analytics practice by collaborating with other practices and partners where you will be focusing on go-to-market offerings, marketing materials, use cases and offerings growth (e.g., Omnichannel, Data Strategy, Data Governance, etc.
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Familiarity with concepts of Analytics, Machine Learning, Internet of Things, Business Intelligence, Databases, Data Lakes, Robotic Process Automation, Data security/governance/compliance, Data Modeling, Building a Data Strategy, Data Visualization.
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Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus. Working with our business operations and Foundation strategy program partners, the team supports the management of on-premises and cloud data infrastructure, data security and access controls and EDS technology stack and roadmaps.
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The San Diego Data & Analytics practice is a full-service data practice with competencies across information strategy, modern data architecture, data visualization, and data science.
$105,000 - $186,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with IT solutions and services including IT Modernization, IT Strategy, Agile Transformation, Cloud Solutions, Agile Software Development, DevSecOps, CX Design, Change Management, and Data Visualization and Analytics.
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Experience in use of data visualization and reporting – e.g. Tableau and/or Alteryx is a plus. + Data Analytics and Technology - Discover patterns, insights, trends and anomalies from straightforward analyses, data sets and visualization tools.
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Build the long-term strategy and roadmaps of the technologies under their responsibility, including analytics, data warehouse, data fabric, PowerBI, data collection, mining and integration for SQL and Oracle SQL, artificial intelligence and machine learning based on products direction, market trend, and business needs.
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Database: Design of data strategy for manufacturing, quality, and business enterprise systems AVEVA PI: Develop and define data structures / guide UI development. Network architecture, virtual machine environments (VMWare), VLANs, firewall rules, servers Industrial control system integration using open integration protocols OPC/MQTT Unified Namespace Architecture, IS95, event driven architectures AVEVA PI Systems architecture including connectivity, asset framework management, client visualization tools.
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Leverage Verity insight tools to support Strategy in building cookieless data strategies; drive feedback cycle with Product to shape new reporting features and data visualization.
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Knowledge in HTML, CSS & JavaScript, Data Visualization tools and charts/graphs libraries a plus. 2-5 years overall related experience in UI/UX design, UX strategy, and usability research and testing.
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Description The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies.
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