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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. In depth knowledge of, ICS environments including Programmable Logic Controls (PLCs), Human Machine Interfaces (HMIs), and other field devices such as smart sensors.
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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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Skills in data visualization (Oracle Analytics Cloud, Tableau, Power BI, or similar) As a Business Intelligence Engineer within Region Delivery Analytics team, you will be responsible to build data visualizations consumed by Infrastructure Delivery leadership using all development tools available, including Python, R, Apex and Oracle Analytics Cloud/OBIEE. The role also requires prowess in SQL and SQL Developer to build reportable datasets.
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.Competitive salary of $60,000-65,000 based on experience and credentialsAn attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. Experience with Power BI or a comparable analytics/reporting platform required.
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Accurate inventory control thru data input of material usage into the AS400 inventory control system. Positions and secures work piece in holding device, machine table, or fixtures. Observes operation of machine and verifies conformance of work piece to specifications.
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Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space; and, Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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Monitors mission health of systems deployed and provides daily reporting to the FOC Lead. Responsible for gathering Level 1 PBLM using mission data, electronic health and status reporting, and details from fielded calls from Operational sites to complete CDRL A009 in their hub and spokes of assigned responsibility and supporting FOC leads consolidation of daily reports.
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Demonstrated understanding of engineering principles associated with energy efficiency and renewable energy technologies such as boilers, chillers, building automation systems, HVAC systems, building envelope, PV solar, battery energy storage systems, cogeneration, microgrids, power systems, and water/steam distribution systems.
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You will have an interest in modern domain-independent, non-interpretive solution architectures preferred in machine learning and language models. 10+ years of hands-on working experience in Data Science capacity, three years working with people data – CRM, identity graphs, ad-tech/mar-tech log-level data, respondent-level panels, etc.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience in learning new approaches, coding languages, and Meta specific solutions.
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