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Experience with designing and developing end to end data pipelines on AWS - Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
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7+ years of progressive experience in definition and implementation of Data Warehousing and Business Intelligence solutions supporting ecommerce, direct-to-consumer marketing, or consumer data analytics teams.
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Experience working in supply management such as purchasing, warehousing, logistics, service parts management and procurement, etc. Major Duties:•Forecast new parts and manage part availability•Develop global service part forecasts for newly adopted service parts using historical data, engineering and product support input, and product and component knowledge.
$25TemporaryExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + 5+ years of experience in data management, data engineering, or a related field.
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A minimum of five years of ETS or Enterprise Performance Management (EPM) related experience with a professional services advisory firm or publicly traded company; experience leading and delivering full life cycle implementation projects related to ETS and/or EPM with software vendors such as Oracle and experience with Connected Planning, Comprehensive Financial Close, Enterprise Data Management and other Oracle Cloud products.
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Experience in quality management systems (FDA, ISO, Lean Manufacturing, 6 Sigma, etc.) Safely and efficiently perform manufacturing, assembly, packaging and warehousing of product to meet customer demand which may include operation of paper converting machines and/or forklifts.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL. Strong knowledge and experience with traditional and cloud database technology (e.g. SQL, Snowflake, and/or Azure) and an advanced understanding of data warehousing, data flow and handling.
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Strong understanding of data warehousing concepts, data governance principles, and data management best practices. Senior Data Architect with 10+ years of experience in large Data Management space.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Servicing accounts includes supporting the delivery and coordination of print and related services such as creative, prepress, data management, production, finishing, warehousing, fulfillment, buying and distribution.
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Experience in one or more of the following: Data Warehousing, Business Intelligence/Analytics, Master Data Management, Veeva or Salesforce CRM. + 5+ years of experience with the following related to Commercial Life Sciences: Data Warehousing, Business Intelligence, Master Data Management, Data Assets, CRM ( or Veeva CRM.
RemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Senior Data Engineer specializing in data warehousing and data quality practices, proficient in the Azure, AWS, and Talend toolsets to lead the dissemination and analysis of local and global datasets toward our future growth.
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Developer / Analyst without customer engagement experienceDeveloper / Analyst without Data Warehousing / BI experienceNon-technical Project Manager or AnalystNon-hands-on resourcesSkill. Experience in delivering Data Warehousing/Business Intelligence solutionsStrong experience in engaging with customers, as well as performing data analysis, to produce solution requirementsStrong SQL skills in complex queries and data manipulation a big plusStrong communications skills.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Experience with SQL and data warehousing/pipelining tools such as dbt and Airflow. Start up experience as a technical co/founder, growth, or data roles. Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies.
$191,250 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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25% - Leads day-to-day system IT operations including providing technical leadership for Learning Management systems, Student Information System, financial systems, human resources, procurement, project management, enterprise portals, enterprise data warehousing, business intelligence, CRM, publishing, distribution, and software development which includes various applications, infrastructure, IT project management and web technologies, help desk and network technologies.
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