Senior Supervisor, WFM Financial Analytics

Trulieve•South Highpoint, FL

55d•Onsite

About The Position

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. Trulieve strives to bring patients relief through trusted products, grown naturally to alleviate symptoms associated with serious medical conditions. Our specially trained staff works with physicians to provide compassionate care.

Requirements

5+ years in Workforce Management/Analytics with proven senior-level scope in forecasting, capacity planning, and/or performance analytics.
Expertise in SQL and Advanced Excel; proficiency with Power BI or Tableau for data visualization.
Proficiency with Python (or R) for analysis and automation; familiarity with machine learning methods applied to forecasting and optimization.
Demonstrated ability to translate complex analysis into clear operational and financial implications for senior stakeholders.
Experience working in Agile/Scrum environments.
Must possess a valid driver’s license and pass a MVR background check.
Must be able to pass a level 1 and level 2 background check.
Must be at least 21 years of age.
Must function independently, and have flexibility, personal integrity, and the ability to work effectively with residents, personnel, and support agencies.
Must be able to relate to and work with patrons of different ages, abilities, and patrons that at times are experiencing emotional distress, or displaying a hostile attitude.

Nice To Haves

Bachelor’s or advanced degree in Statistics, Mathematics, Operations Research, Computer/Data Science, Engineering, or related field, preferred.
Experience with SAP (S/4, HANA) and cloud data platforms (e.g., AWS), preferred.
Knowledge of NoSQL, VBA, and experimentation frameworks; strong background in WFM methodologies and capacity models, preferred.

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 performance trends, anomalies, and actionable opportunities.
Partner with reporting and cross-functional teams to deliver recurring and ad hoc insights that inform business reviews and strategy sessions.
Support incident management with root-cause analysis; mentor junior analysts, contribute to analytics standards, and promote effective storytelling for non-technical audiences.