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Data Analytics Engineer

Expert In Recruitment Solutions · New York, NY

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Data Analytics Engineer at Expert In Recruitment Solutions. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Our client is seeking a Data Analytics Engineer with 8-10 years of experience to develop and maintain a Security Review Risk Framework analytics engine, focusing on Python-based analytical models, statistical analyses, and automation workflows to support security and risk management objectives. Responsibilities & Qualifications

  • Develop and maintain the Security Review Risk Framework analytics engine, ensuring reliability and performance in production environments
  • Build Python-based analytical models, statistical analyses, and automation workflows that translate business and security requirements into technical solutions
  • Create production-ready code with appropriate testing, validation, quality controls, and technical documentation
  • Partner with security and risk stakeholders to define key metrics, reporting structures, and actionable risk insights
  • Conduct statistical analysis and risk assessment to identify trends, anomalies, and security patterns within analytical datasets
  • Produce clear technical documentation, analysis specifications, and architecture summaries for cross-functional teams
  • Collaborate with stakeholders to gather requirements and deliver analytical solutions that meet both technical and business objectives

Requirements

  • 8-10 years of professional experience in data analytics, engineering, or related analytical roles
  • Expert proficiency in Python for building scalable analytical applications and automation workflows
  • Strong statistical analysis and quantitative modeling skills with demonstrated ability to translate data into insights
  • Experience with risk assessment frameworks, methodologies, or tools in a financial or security context
  • Ability to write production-grade code with comprehensive testing, validation, and quality assurance practices
  • Proficiency in technical documentation and communicating complex analytical concepts to non-technical stakeholders
  • Experience partnering with security, risk, or compliance teams on analytical initiatives and metric definition

Skills

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