Provides data analysis and database management support to programs and initiatives to drive actionable recommendations based on internal and external research. Serves as a resource person to team members to ensure all requirements, understanding, and analyzing data for sharing data-driven insights and performance improvement initiatives are met. Monitors and regularly upgrades/enhances the analytics platforms and dashboards to address current and emerging business needs. Maintains security measures to ensure proper quality checks and that governance is established for all data solutions. Responsible for delivering regular report generation and operational work products supporting the development of data decision-making tools (i.e., modeling, forecasting, and prediction).  Design and implement data collection processes and measurement strategies to advance data analysis techniques to identify trends, measure effectiveness, and provide actionable insights. Create comprehensive reports, summaries, and visualizations to communicate findings to business stakeholders and senior leaders. Create and maintain all documentation, including the data design, requirements, metric inventory, and user manuals. Serves as an expert user, providing enablement and training for additional system users to champion a data-driven culture by educating partners and business leaders on the value and practical usage of analytics and insights. Adhere to best practices and organizational policies to ensure data security and confidentiality. Build strong relationships with internal stakeholders to ensure data initiatives meet their needs and drive organizational success. Achieve results through strategic execution, attention to detail, and a commitment to data integrity and accuracy.

Requires Bachelor's degree in Data Science, Statistics, Human Resources, Business Administration, or a related field. Requires 3-5 years of experience in data analysis, preferably within a human resources context. Requires advanced proficiency in computer applications and Business Intelligence Solutions (e.g., MS Excel, SQL, Python/R, Tableau and/or Power BI). Experience in designing and implementing data collection processes, consulting on employee strategies, and developing dashboards and reports. Demonstrated experience in utilizing advanced data analysis techniques to generate insights and measure program effectiveness. Demonstrated proficiency in communicating complex data insights in a clear and actionable manner to non-technical stakeholders and team members.