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We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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Breadth of technical experience and knowledge, with depth in Data Engineering (data exchange, data processing, and data delivery), Data Warehousing, Business Intelligence, and two or more of the following areas: Data Modeling, Meta Data Management, Master Data Management, AWS Solution Architecture.
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Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Option 1: Bachelor's degree in Computer Science or related field and 6 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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A successful candidate will have a current TS/SCI with Polygraph and a strong understanding of Foreign Threat Systems; Scientific and Technical Intelligence; Foreign Material Exploitation; Modeling and Simulation, Test and Training Range Community; Rapid Prototyping; Cyber Technology and Operations; Non Kinetic Defeat; DoD and IC Space; Electronic Warfare; and System Resiliency.
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Experience With Business Intelligence software (Microsoft Power BI, Tableau and SQL). Liaison between stakeholder and Business Intelligence & Risk Reporting to collect requirements, design, create, and enhance reports and Tableau dashboards that satisfy stakeholder desires.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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0 - 2 years of experience in business intelligence, data analysis, marketing analytics or related analytical roles preferred. This role is accountable for data stewardship (automation and processes), Power BI (development and routine reporting), regression/statistical modeling and predictive capabilities (development and routine analysis) and work as lead coordinating projects.
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Drive ProAg's business plan/strategy: partner with business intelligence, underwriting, and marketing groups to communicate actuarial findings and influence decision-making in alignment with ProAg's business strategy.
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The service offerings include Quality of Earnings (buy-/sell-side financial due diligence), pre-LOI valuation assistance, accounting integration, corporate development support, turnaround and restructuring services, purchase price allocation (PPA) and financial modeling.
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In the role of Quality Business Intelligence (BI) Manager you will drive a wide variety of data science projects that will focus on providing quality, regulatory, and operations with the metrics and analysis they need to make strategic and tactical decisions in a timely manner while operating in a medical device environment.
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Developing and executing model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulation, disease progression models, quantitative systems pharmacology (QSP) modeling into programs, comparator modeling, thereby strengthening our pharmacometrics capabilities on a continuous basis in decision making and driving pipeline impact.
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Develop data modeling and data transformation for business intelligence tools like Microstrategy and Tableau. Position Summary : The BI Developer is responsible for building the interfaces and supporting multiple business intelligence tools like Tableau and Microstrategy for the delivery of end-user functionality from the Data Warehouse and other data sources based on functional and technical specification.
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Apply Business Analytics (BA) and Business Intelligence (BI) methods/tool for data analysis, applying cognitive technologies, predictive modeling, and relevant services. Knowledge and experience of emerging technologies such as machine learning (ML), artificial intelligence (AI), natural language processing (NLP), UI/UX, Python, and business intelligence tools such as Tableau.
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The contractor shall assist government representative in providing Microsoft Power BI , Business Intelligence or Excel reports on topics and frequency as required. The contractor shall assist in generating the SOC report in Defense Medical Logistics Standard Support (DMLSS) Business Intelligence, when requested by the Facility Manager and/or Safety Officer.
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The Senior Business Intelligence Developer's primary responsibility is the independent design and development of business intelligence solutions leveraging advanced data science and analytical techniques to extract valuable insights from complex data sets.
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