Senior Supervisor, WFM Financial Analytics

If you have an interest in being part of one of the fastest growing industries in the nation in you may consider wanting to work for Trulieve! If you have a desire to help others in need through your efforts, this may be the role for you! 

At Trulieve, we strive to bring our patients the relief they need in a product they can trust. Our plants are hand-grown in an environment specially designed to reduce unwanted chemicals and pests, keeping the process as natural as possible at every turn.

Our products are designed to alleviate seizures, severe and persistent muscle spasms, pain, nausea, loss of appetite, and other symptoms associated with serious medical conditions such as cancer.

Our specially trained staff works hand-in-hand with physicians to provide the right products and the correct dosage to ensure patients get the compassionate care they need.

To learn more about our company, please visit our website; 

https://www.trulieve.com

 

 

Requisition ID:  19078 

 

Remote Work Available: No 

Job Title: Senior Supervisor, WFM Financial Analytics 

Department: Workforce Management 

Reports To: Director of Workforce Management 

Location: Clearwater, FL or Scottsdale, AZ – In-office 

FLSA Status: Regular-Exempt 

 

ROLE SUMMARY

The Senior Supervisor, WFM Financial Analytics owns advanced forecasting, labor budgeting, financial modeling, and performance analytics. The role builds scalable, automated planning models, delivers clear, data-driven recommendations, and directly influences staffing, service-level, and financial outcomes.  

 

KEY DUTIES AND RESPONSIBILITIES

• Translate business strategy into workforce and capacity plans aligned to service-level, cost, and growth objectives; present recommendations to senior leadership.  

• Serve as a subject matter expert in forecasting, staffing, and analytics methodologies; mentor analysts and elevate data literacy across the organization.  

• Lead development of short-, mid-, and long-term forecasts using statistical and machine learning techniques integrating historical data, trends, and business drivers.  

• Build and maintain capacity, staffing, and budget models that tie operational demand to productivity and financial targets.  

• Design staffing allocations and optimize schedules across channels and skills; lead scenario planning for seasonality and volume volatility.  

• Apply advanced analytics—multivariate analysis, regression, experimentation—to diagnose drivers of demand, handle time, shrinkage, and performance outcomes.  

• Convert analytical findings into clear operational and financial narratives for executive audiences.  

• Lead development of automated dashboards, curated datasets, and standardized reporting frameworks with strong quality controls.  

• Query, validate, and transform large datasets; build robust analytics pipelines with unit and regression testing.  

• Conduct diagnostic and predictive analyses to identify