Field Labor Analyst III

Aptive Environmental•Provo, UT

About The Position

Aptive is seeking a Field Labor Capacity Analyst III to support workforce planning and help develop technology-driven, data-informed approaches to pest control operations. This full-time position is based in Provo, Utah, or may be performed remotely. The analyst will build and improve workforce capacity models, evaluate labor strategies, strengthen forecasting, and provide recommendations that balance labor costs, service impact, and operational feasibility. The role also contributes to model governance and analytical standards, communicates recommendations to senior leaders, and mentors other analysts.

Requirements

At least 5 years of experience in workforce planning, forecasting, capacity analysis, or operations analytics.
At least 2 years independently owning a forecasting or capacity model and its recurring planning process.
Advanced knowledge of labor capacity planning, demand forecasting, scenario modeling, and staffing strategy.
Ability to connect service demand, service times, utilization, shrinkage, workforce readiness, and labor costs in one model.
Experience evaluating forecast accuracy, bias, uncertainty, and model limitations.
Advanced spreadsheet modeling skills and strong working proficiency in SQL.
Experience using AI-assisted development tools, such as Codex, Claude, or app scripting, to build and maintain models; writing code from scratch is not required.
Knowledge of model governance, documentation, and version control.
Sound judgment when data is incomplete or assumptions are uncertain.
Strong communication skills and ability to influence cross-functional decisions without formal authority.
No college degree required.

Nice To Haves

Coursework or certifications in workforce planning, analytics, statistics, or process improvement.

Responsibilities

Build and improve workforce capacity models connecting field demand to productive hours, staffing requirements, and workforce supply.
Evaluate short- and long-term labor capacity strategies and recommend staffing approaches to leadership.
Partner with Forecasting to improve forecasting methods, backtest changes, assess uncertainty, and run scenario analyses across operating conditions.
Assess hiring timing, attrition, training capacity, productivity, and operational constraints, and recommend actions based on labor cost, service impact, and feasibility.
Define model validation standards and technical controls, and review material model changes.
Use SQL and AI-assisted scripting to build reliable, well-documented analytical workflows.
Present clear recommendations to senior leaders and align planning assumptions across teams.
Mentor analysts in modeling, validation, and analytical judgment.