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Company

Original Job Post

Seneca Resources · 2 days ago

Data Analyst - Predictive Modeling

United States

Full-time

Remote

Mid Level

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Hiring Manager

Emma Sliwinski

Insider Connection @Seneca Resources

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLMathematicsStatisticsTechnical WritingExcelData AnalysisData VisualizationDatabase DesignData MiningData ModelingProblem-SolvingCommunicationPythonJupyter NotebookJupyter LabVisual Studio CodeStatistical AnalysisPowerBIPlotlyAgileAzure DevOpsCybersecurity Frameworks

Required

Doctorate degree in Computer Science, Mathematics, Physics, Statistics, or related field.

SQL experience

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.

Preferred

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