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Safelite · 6 days ago

Field Optimization Analyst

Columbus, OH

Full-time

Onsite

Mid, Senior Level

4+ years exp

Safelite is an auto glass company that aims to provide a fulfilling career for its employees. The Field Optimization Analyst will leverage operational, scheduling, and customer data to generate actionable insights that optimize field capacity and enhance work order management.

Automotive

Hiring Manager

Heather Loughley

Responsibilities

Analyze operational, scheduling, and customer data to identify trends, patterns, and opportunities in field capacity utilization, labor utilization, and work order performance

Apply advanced analytics (statistical analysis, segmentation, predictive modeling) to uncover drivers of outcomes such as install conversion, reschedule rates, capacity utilization, and team productivity

Develop and maintain dashboards and recurring reports to monitor key metrics, including daily appointment capacity utilization, labor utilization, capacity and scheduled appointment trends, work order completion rates, and field team performance

Collaborate with Field Operations, Customer Experience, IT/Data Science, and other teams to support analytical needs and align insights with Safelite’s business initiatives

Translate analytical findings into clear, actionable recommendations for field leaders, including executive summaries and presentations

Aggregate insights from multiple sources (surveys, feedback, operational data) to ensure both customer and field perspectives are represented

Other duties assigned by management

Performs other duties as assigned

Complies with all policies and standards

Qualification

Data analysisBusiness intelligence toolsStatistical analysisField capacity managementCustomer analyticsInnovative thinkingProblem-solvingCommunication skillsCollaboration skillsAttention to detail

Required

Bachelor's Degree in Data Science, Business Analytics, Statistics, or related field

4-6 years 3–5+ years in a data or business analyst role, ideally with exposure to field operations, capacity management, labor analytics, or customer analytics

Strong analytical and problem-solving skills; ability to analyze large datasets and draw meaningful conclusions

Proficiency with data manipulation and BI tools (Excel, SQL, Tableau, Power BI); familiarity with statistical/programming tools (Python, R) is a plus

Understanding of field capacity management, labor utilization, scheduling, work order optimization, and customer analytics in a service or retail environment

Excellent communication and data storytelling skills; able to distill complex analyses for diverse audiences

Strong collaboration and consulting skills; customer-first mindset

High attention to detail and data quality

Innovative thinking, customer-centric mindset, and strong organizational skills