Finance Lead managing cross - functional project teams and strategic financial analyses for HP. Leading budgeting and long - term financial planning initiatives across the organization.
About the role
- Senior Supervisor overseeing WFM Financial Analytics at Trulieve, optimizing staffing and financial models. Building automated dashboards and forecasts while mentoring analysts.
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.
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.
- 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.
- 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.
Benefits
- A comprehensive benefits package including paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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