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Data Analyst

1 month ago


Vienna, United States US Main Full time

Role: Data Analyst – Predictive Modeling Location: Vienna, VA (Hybrid) Position Type: Contractual Responsibility: • Build and enhance statistical and predictive models for risk-based quantitative analysis. • Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data. • Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects. • Develops proofs of concept or demonstrations to evaluate feasibility of project solutions and recommends visualization strategies. • Develop communication strategies of concepts and results for multiple levels of management and technical expertise. • Develop, implement, and maintain analytics systems, taking complicated problems and building simple frameworks. • Identify trends and opportunities for growth through analysis of complex datasets. • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets. • Create best-practice reports based on data mining, analysis, and visualization. • Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data. • Perform other duties as assigned. Qualifications: • Master’s degree in Computer Science, Mathematics, Physics, Statistics, or a related field. • Knowledge of mathematics’ principles and concepts, and familiarity with other scientific and engineering disciplines to carry out complex statistical analysis processes. • Technical writing experience in relevant areas, including queries, reports, and presentations. • Strong SQL and Excel skills, with aptitude for learning other analytics tools. • Strong understanding of database design, data mining, and data modeling concepts. • Proven ability to develop effective data visualizations strategies. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: • Doctorate degree in Computer Science, Mathematics, Physics, Statistics, or related field. • Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis. • Experience working with data visualization applications like PowerBI and Plotly. • Experience working with Agile principals utilizing Azure DevOps or similar systems. • Experience working with Cybersecurity Frameworks and related data.


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