Minimum Qualifications Education Level: Bachelor's degree Area of Experience: Business, Human Resources, or related field or equivalent experience required Experience Requirements: 8+ years of experience in data analytics, reporting, or business insights; including 2+ years applying data science Strong programming skills (SQL, Python, R), including experience with ML libraries Expertise in data manipulation at scale Advanced proficiency in data mining (e.g., Databricks) and BI tools (preferably Power BI) Experience with workforce analytics and planning Track record of delivering end-to-end analytics projects Data Engineering: ETL processes, data pipeline development, data quality frameworks . Knowledge, Skills, and Abilities Machine Learning: Experience building and deploying supervised learning models and leveraging generative models Statistical Analysis: Advanced statistical methods, hypothesis testing, experimental design Programming: Python/R proficiency, including visualization libraries BI Development: Complex Power BI development, including DAX and data modeling Data Engineering: ETL processes, data pipeline development, data quality frameworks Workforce operations and reporting, analytics, planning, optimization Analytics Problem Solving: Ability to translate business problems into analytical solutions Stakeholder Management: Strong communication and influence skills .