Sr Analyst Workforce Management

Summary Sr Analyst Workforce Management The Sr Analyst Workforce Management will drive the development and implementation of advanced analytics solutions for our 55,000‑person frontline workforce. This role bridges traditional workforce analytics with modern data science approaches, leading complex analytical projects and innovating data systems, products, and processes. The ideal candidate will combine strong technical skills with business acumen to deliver impactful solutions that optimize workforce operations and enhance employee experience. Job Will Remain Open Until Filled Responsibilities Analytical tool development and updating Design and implement advanced analytics solutions, including predictive models and workforce forecasting and optimization Lead complex analytical projects from problem definition through deployment and automation Create scalable analytical frameworks and repeatable methodologies across the workforce lifecycle and throughout Workforce Operations functions Partner with business stakeholders to identify, prioritize, and deliver on analytics opportunities Support and/or lead the design, development, and revision of Power BI dashboards Data science to explore, experiment, and deploy innovative data, metrics, and model solutions Manage and support daily, weekly, and ad hoc analytic and reporting solutions Supervisory Responsibilities Direct Reports: This position does not have supervisory responsibilities for direct reports. Indirect Reports: Does not have direct reports, but may delegate work of others and provide guidance, direction, and mentoring to indirect reports. Travel Some travel will be required, estimated up to 30%. 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 Environmental & Physical Requirements Incumbent must be able to perform the essential functions of the job. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each day), ability to hear telephone, ability to enter data on a computer and may require the ability to lift up to 10lbs. Equal Employment Opportunity The Company is committed to providing equal opportunity in all employment practices without regard to age, race, color, national origin, sex, sexual orientation, religion, physical or mental disability, or any other category protected by law. As part of this commitment, the Company shall provide reasonable accommodations of known disabilities to enable an applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. #J-18808-Ljbffr Advantage Solutions