Tyree Morris

With 8+ years of HR and people-data operations experience, I am a professional that combines HRIS and Workday HCM expertise with workforce analytics, Python-based automation, Tableau reporting, and rigorous process execution.

Experience includes analyzing turnover, staffing, attendance, engagement, performance, and compensation-adjacent employee lifecycle data; identifying root causes; and translating findings into accurate, scalable actions across multiple sites. Cross-functional partnerships with HR, Operations, and senior leaders have improved metrics by 8–12%, reduced repeat escalations by approximately 20%, strengthened onboarding and talent processes, and supported compliant, detail-oriented decision-making.

HR Business Partner (People Data & Turnover/Staffing Analytics) - Target Global Supply Chain & Logistics - Madison

(2024-05 - 2026-06)

• Owned end-to-end turnover and staffing analytics, applying attention to detail across workforce-data reconciliation, root-cause analysis, and targeted action plans supporting operational rollout.
• Designed Python-based turnover intelligence models that surfaced early-tenure risk trends and root-cause insights, enabling focused interventions and improving organizational stability.
• Partnered with senior leaders to strengthen talent pipelines and succession planning for critical roles, aligning staffing strategies with business priorities and fintech-informed workforce practices.
• Designed scalable engagement procedures and launched an internal rewards-and-recognition program aligning Target TMs with performance goals while reinforcing recognition culture.
• Drove targeted leader-development plans with senior leaders, translating workforce insights into measurable capability-building actions and improved operational readiness.
• Managed HR Specialist performance and development through structured coaching, mentorship, and scalable talent procedures, strengthening team capability and service consistency.
• Reduced early-tenure attrition by applying statistical insights, improving leader accountability, and optimizing onboarding workflows through disciplined data review and root-cause fixes.
• Translated complex workforce data into clear narratives for site leadership, improving decision-making, communication, and alignment across HR and Operations.
• Leveraged workforce analytics, HRIS workflows, and automation tools to shape staffing and development strategies, improving team capability and talent-decision alignment.
• Delivered high-judgment HR solutions by combining analytics, operational expertise, and attention to detail to improve service quality, speed, and efficiency.
• Partnered with leaders to execute performance management and annual review cycles, aligning organizational and individual goals for hourly and exempt employees.
• Built Tableau dashboards visualizing attrition drivers, leader-level patterns, and staffing gaps, equipping business leaders with actionable workforce-planning insights.

HR Partner (L4-Salaried) - Amazon - Horn Lake

(2022-08 - 2024-05)

• Coordinated recurring people processes across four sites, applying organizational skills to ensure accurate execution, stakeholder alignment, and delivery of talent routines, business priorities, and culture initiatives.
• Analyzed performance data against operational goals, partnering cross-functional teams to identify gaps and drive actions that improved key metrics by 8–12% across multiple departments.
• Conducted root-cause analysis and coordinated issue resolution with site stakeholders, eliminating recurring operational barriers and reducing repeat escalations by approximately 20%.
• Performance-managed and developed hourly HR team members, using data insights, documentation standards, and communication skills to strengthen decisions and prepare employees for expanded responsibilities.
• Supported investigations and corrective actions through documented, data-backed recommendations, improving compliance, leader consistency, and issue-resolution effectiveness across supported sites.

Sr. Human Resources Assistant (L4-Hourly) - Amazon - Horn Lake

(2021-04 - 2022-08)

• Analyzed daily high-volume people metrics—including attrition, attendance, and engagement—to identify trends, surface risks, and support accurate, data-driven workforce decisions.
• Partnered with Operations to improve corrective-action quality, strengthen HR–OM alignment, and promote consistent, compliant employee lifecycle practices.
• Managed investigations and ethics escalations with strict confidentiality and compliance, safeguarding sensitive information and reinforcing trust in HR processes.

Interim Human Resources Admin - Amazon - Memphis

(2019-08 - 2021-04)

• Analyzed daily people metrics, including attrition, attendance, and engagement, identifying trends, removing business-side barriers, and driving data-backed improvements across multiple departments.
• Applied Amazon policy with high judgment, delivering timely, accurate guidance to associates and leaders while ensuring fair, consistent, and compliant resolution of employee requests.
• Protected sensitive employee information through strict confidentiality controls, maintaining data integrity and sharing details exclusively on a need-to-know basis under policy and legal requirements.

Master's - Data Science, focus in Machine Learning - Bellevue University

Bachelor's - Computer Science - University of Maryland - College Park (2021-03 - 2023-05)

Bachelor's - Chemistry, Arts and Sciences - University of Memphis (2014-06 - 2018-05)