Product Quality Data Analyst

Product Quality Data Analyst

Job Responsibilities:

• Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
• Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Palantir, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
• Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
• Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
• Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
• Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.

Requirements:

• Minimum required Education: Bachelor's or Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, or equivalent.
• Minimum required Experience: Minimum 5+ years of experience with a Bachelor's degree in areas such as Data Analytics, Data Modeling, or equivalent OR no prior experience required with a Master's Degree.
• Preferred Skills:
  • Data Analysis & Interpretation
  • Data Harmonization & Processing
  • Data Modeling
  • Data Quality Assurance
  • Statistical Methods
  • Statistical Programming Software
  • Business Intelligence Tools
  • Data Mining
  • Machine Learning Engineering Fundamentals
  • Research & Analysis
  • Structured Query Language (SQL)
  • Regulatory Compliance