Data Analyst – Predictive Modeling at Confidential company

 

 

 

• 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.

 

 

• 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.

 

 

• 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.