Note: The job is a remote job and is open to candidates in USA. Safelite is an auto glass company that focuses on providing a fulfilling career for its employees. The Field Optimization Analyst leverages operational, scheduling, and customer data to generate actionable insights that optimize field capacity and enhance work order management.

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

Skills

• 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
• Experience in retail, service, or consumer-facing industry analytics is advantageous

Benefits

• Total job benefits valued at more than $10k•. This includes a 401(k) plan with company matching, medical coverage plans customized to suit your needs and a commitment to work/life balance through our paid time off (PTO) programs, company holidays and paid volunteer days.
• Up to $5,250 in tuition reimbursement per year.

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