Product Quality Data Analyst-Hybrid

Job Description

Job Description

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.
• Minimum required Certification: N/A

Preferred Qualifications & Skills:

• 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

Benefits:

Paid sick leave, Medical/Dental (optional), 401 (k) Retirement Plan (optional), Employer Paid Life Insurance, Employer Paid Short Term Disability, Optional Life Insurance.

ELYON International, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.