WFM Analyst: Forecast, Optimize, and Elevate Operations

Johnson & Johnson MedTech; Raynham (MA); Hybrid; USD 65,000 - 95,000; Full time

Job summary

DePuy Synthes is recruiting for a WFM Analyst; this Hybrid position will be in Raynham, MA (USA). The role focuses on data‑driven insights, forecasts, and performance reporting to align staffing models with business demand.

You will partner with operations, supply chain, and functional leaders to influence staffing efficiency and decision‑making. Requires 2–4 years of relevant experience and a Bachelor’s degree; advanced degree preferred.

Qualifications

• Bachelor’s degree in Business, Analytics, Operations, Finance, or related field.
• Advanced degree preferred.

Responsibilities

• Analyze workforce demand, capacity, and productivity data to support short- and long-term planning activities.
• Develop and maintain workforce models, forecasts, and staffing scenarios aligned with business needs.
• Monitor KPIs related to labor utilization, efficiency, and service levels.
• Prepare regular and ad hoc reports, dashboards, and insights for business partners and leadership.
• Identify trends, risks, and improvement opportunities related to workforce performance and resourcing.
• Partner cross-functionally with operations, finance, HR, and planning teams to support decision-making.
• Support continuous improvement initiatives by evaluating process effectiveness and data accuracy.
• Ensure data integrity and compliance with internal policies and reporting standards.

Skills

Excel

Data analysis

Reporting

Forecasting

Stakeholder comms

Education

Bachelor’s degree

Advanced degree preferred

Tools

Workforce planning systems

Dashboards/Visualization

Job description

DePuy Synthes is recruiting for a WFM Analyst; this Hybrid position will be in Raynham, MA (USA). The role focuses on data‑driven insights, forecasts, and performance reporting to align staffing models with business demand.

You will partner with operations, supply chain, and functional leaders to influence staffing efficiency and decision‑making. Requires 2–4 years of relevant experience and a Bachelor’s degree; advanced degree preferred.