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While it is anticipated that most of this work will be for renewable energy projects including solar, wind, transmission, substation, and battery storage projects, the successful candidate will also be able to leverage 3D tools and data to produce models and visualizations showing all manner of proposed project environments.
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The GPS AI & Data Engineering 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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Provides data engineering and programming support to Client projects, including data visualization, data mining, data trending, and prediction based on large historical data for process, analytical and cell line development.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. Accurate and timely market data is critical to protecting our "Save Money, Live Better" promise, operating at low cost, and helping customers make purchase decisions.
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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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Intermediate (3+ years) experience building database models for data visualization tools such as Power BI, Sigma, Tableau, or Looker. As the Business Intelligence Lead, you'll bring a background in data engineering, data visualization and analytic solutions.
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Slalom is looking for someone with proven experience and fluency in at least 2 of the following skill groups to deliver value to clients: data strategy, data science, data engineering/architecture, and/or data visualization.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices.
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Proficiency in Data Science and Data Visualization tools (e.g., Qlik/Tableau). 2+ years of experience with data visualization software and data load editor functionality.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI). Technology and Tools: Evaluate and implement advanced HR analytics tools, technologies, and platforms to enhance data visualization, reporting capabilities, and self-service analytics for HR stakeholders.
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data visualization jobs Company: Experian
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