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A Glimpse into the Daily Routine of a Data Software Visualization Engineer. Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Proficient in data visualization software – Spotfire, R/R Shiny. The statistical programmer works collaboratively with the end users, internal colleagues to ensure the high-quality production of data visualizations and statistical outputs using Spotfire/R and other visualization tools.
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The GPS AI & Data (AI&D) 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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Experience with data visualization tools, such as Tableau, Power BI, Google's Looker Studio, D3. The School of Government and Public Policy (SGPP) at the University of Arizona invites applications for a Data Architect III. The data architect will work closely with the Arizona Voter Project Director and academic collaborators to provide technical support for the Arizona Voter Project.
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The Data, Analysis, and Visualization group, located within NREL’s Computational Sciences Center, is seeking a full-time software engineer with experience in visualization research and UI/UX. The software engineer should be dynamic, motivated, and have a strong interest in advancing the renewable energy mission of NREL by supporting world class research, innovation, and leadership in computational science.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Performing detailed exploratory analysis, regression analysis, predictive modeling, machine learning, data visualization or other methods to deliver business insights. The Market Research Intern (Data Analyst) will work under the direction of and partnership with the Market Research Manager and analyze business and market data.
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Knowledge on methods and technologies to support Manufacturing Data integrations (e.g. SQL, Web Services/messaging, data mapping)Data analysis and reporting experience by using analytics, visualization and database technologies (OSISoft PI RtReports, Spotfire, Tableau)Full stack development including infrastructure cloud services (Storage, VMs, Network, etc.
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Data Visualization: Create informative and visually appealing reports, dashboards, and data visualizations to communicate insights to cross-functional teams, with tools such as Looker Studio and Tableau.
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Potential Certifications: PMP, ITIL, PMI)Analytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization. MIS: Management Sciences, Decision Sciences, Information Sciences, Product Management, Project Management, Program Management, Portfolio Management, Human Communications, Strategic PlanningAnalytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization, etc.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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Data Visualization: Tableau, Power BI, MS Excel. o Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization's overall HR Data & Reporting objectives.
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data visualization jobs Title: data Company: Aya Corporate
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