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Senior Quantitative Analyst

1 week ago

East Hanover, New Jersey, United States TriOptus LLC Full time

Job Description

The Senior Data Analyst is a senior-level role that requires strong analytical skills and experience in data analysis and interpretation. The successful candidate will be responsible for analyzing complex data sets, identifying trends and patterns, and making recommendations to improve product features and functionalities.

Main Responsibilities

  • Data Analysis & Insights:
    • Identify and analyze large datasets to extract valuable insights and provide actionable recommendations.
    • Develop and maintain dashboards and reports to monitor product performance and user behavior.
    • Perform A/B testing and experimental designs to evaluate product changes and new features.
  • Stakeholder Collaboration:
    • Work closely with product managers and owners to define data requirements and translate business questions into analytical projects.
    • Collaborate with engineering teams to ensure accurate data collection and integration.
    • Partner with teams to understand market dynamics and customer feedback.
  • Strategic Planning & Execution:
    • Provide strategic recommendations based on data analysis to guide product development and roadmap planning.
    • Assist in the prioritization of product features and enhancements based on data-driven insights.
    • Support go-to-market strategies with data insights to optimize product launches and market positioning.
  • Advanced Analytics & Modeling:
    • Utilize advanced statistical methods and machine learning techniques to develop predictive models and algorithms.
    • Analyze customer segmentation by persona & value.
  • Data Governance & Quality:
    • Ensure data integrity and accuracy by establishing and enforcing data governance practices.
    • Perform regular audits and validation of data sources to maintain high-quality standards.
  • Mentorship & Leadership:
    • Mentor and guide junior analysts, providing technical and professional development support.
    • Lead cross-functional data initiatives and champion the use of data in decision-making across the organization.