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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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TPS provides equipment to a broad range of customers in different industries, such as, defense, aerospace, electronics, biotech, medical, pharmaceutical, lab animal science, energy, transportation, communications, commercial heat treating, die casting, agriculture, and materials processing.
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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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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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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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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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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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1+ years of experience with Microsoft Power BI, Power Query, or other Business Intelligence Tools. 3+ years of experience with the Microsoft BI stack, including SSMS, SSRS, SSIS, and Power BI or other visualization tools strongly preferred.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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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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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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Must develop a high degree of expertise with Qlik Analytics Services, Power BI, and other present/future digital sales and territory management tools. Curated Self-Paced Learning & Development Programs for all Employees.
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Leads partnership with Adtalem Analytics / Data Engineering team to ensure ISS requests are prioritized and data is readily accessible for power users within BI as well as ISS verticals for strategic analysis and processing purposes.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
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