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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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The Company's end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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Background in data warehouse/database design/data mining Dimensional modeling. SQL, MIS, Computer Science, Computer Engineering, Innovate, Innovation, developer, technical, analyst, analytics, BI, Business Intelligence, Dimensional Modeling, IT, I.T., information technology, LTL, IT in Transportation industry, transportation and IT, REST, Looker, Node JS, PDI.
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Background in data warehouse/database design/data mining, including dimensional modeling. As a Business Intelligence Developer, you will create and manage a full-stack Analytics environment that will ultimately transform data into knowledge.
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Experience- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Storytelling; Data Modules; Job Scheduling; Database Compliance & Security Technologies; BI Dashboard; Business Intelligence; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management Preferred Qualifications:Three (3) years statistical modeling experience.
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Advance degree or certificate in Statistics, Predictive Modeling or Data Mining. The Senior Business Intelligence Data Analyst brings a data-driven approach to solving company problems and providing strategic insight.
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Through the use of advanced statistical methods, data science, software and database engineering, querying languages and data visualization techniques, works closely with operational and IT teams, utilizing tools to query and acquire data, organize it, analyze it, identify trends, establish alerts, interpret patterns, draw conclusions and implement solutions.
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Strategic Analytics combines the engineering backbone of a best-in-class Big Data Platform with the analytic expertise of advanced mining and predictive modeling. Has sufficient technical knowledge and depth to be able to evaluate technologies and partner with Engineering to deliver data solutions.
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Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. Bachelor's degree in Project Management, Data Science, Computer Science, Engineering, or a related field; PMP certification is a plus.
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.
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We are looking for a Sr. Business Intelligence Engineer to lead in delivering scalable data engineering and analytics solutions as part of the EU Marketplace Business Intelligence team.
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Korn Ferry is partnering with our client in their search for a Sr. Data Analyst (Business Intelligence). The Sr. Data Analyst (Business Intelligence) brings a data driven approach to solving company problems and providing strategic insight.
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Amazon Inbound Transportation Business Intelligence is seeking a candidate who is passionate about leveraging data to deliver actionable insights that impact business decisions to improve customer experience.
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Strong skills in Excel, PowerPoint and experience with at least one data visualization tool like Qlikview/Qliksense, Power BI, Tableau etc. Through a combined three-quarters of a century of healthcare experience, our client offers seven customer-focused core services: Food and Nutrition, Environmental, Patient Transportation, Laundry & Linen, Healthcare Technology Solutions (Clinical Engineering), Facilities Management, and Ambulatory Services.
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data engineering mining jobs Title: intelligence in Sanford, Maine
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