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Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.) CGS is seeking a Power BI Developer to join our team in supporting a wide-ranging technical support initiative for a large Federal agency.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other AI technologies and platforms; Understanding or proven experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Lead the implementation of Microsoft Power BI as our primary data visualization and reporting tool. implement Microsoft Power BI as our preferred analytics tool and leverage its capabilities to.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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This role requires expertise in Microsoft Dynamics 365, Azure data storage, and Power BI for data visualization. Certifications in Microsoft Dynamics 365, Azure Data Services, or Power BI (a plus.
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Database management or analytical tools experience (SQL, Alteryx, Tableau, Power BI); preferred. Unanet, Deltek, Microsoft D365, and other ERP systems; preferred. Proficient in the use of Microsoft Office suite, specifically Excel, Word, and PowerPoint; required.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design, architect, implement and support Microsoft Power BI & SSRS solutions and Create visualizations and reports for requested projects. 0-3 years' experience with Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI, Tableau.
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As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. A successful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. Microsoft Certified Solutions Developer (MCSD) Contract & Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP.
$80,920 - $184,210 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep technical skills and experience w ith three or more of the following Microsoft technologies: Microsoft 365 Defender, AAD IPC, MDO, MDE, MDCA, MDI, Microsoft Sentinel, Entra , Azure AD , RBAC, Conditional Access, AzIP , Azure AD Connect, Azure MFA, Enterprise Permissions Management, Microsoft Defender for Cloud, Intune.
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The Corporate Controls MES Engineer will be a member of the Daisy Brand Corporate Controls Engineering Department with a focus on delivering business intelligence services, BI software development, and Power BI reports utilizing Daisy Brand’s Control Systems, Manufacturing Execution Systems (MES), and Microsoft Power BI servers/platforms.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Subject matter expertise of IVR, Natural Language, and ASR platforms.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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