$ cat jobs/pricing-analyst-human-resources-team-6fbd113b9b4a.json
Pricing Analyst
AI Fire is a leading provider of fire and life safety services in the U.S. offering national account services via its vendor network at Academy Fire and serving local and regional customers through Impact Fire’s employed technicians across 45+ district offices nationwide. AI Fire has completed over 45 acquisitions and will continue to build upon its well-established acquisition and integration model with its new private equity partner. Benefits of joining AI Fire When you join AI Fire you will receive: Competitive compensation Pay is on a weekly cycle, every Friday Career Advancement Opportunities Competitive benefits, including healthcare, dental, vision, life insurance, paid time off and holidays Company paid short and long-term disability Immediately vested in our 401(k) company match Full-time employees participate in our Shared Ownership Program which offers a monetary bonus aligned to the company's long-term success. This program fosters an ownership mindset and ensures that every employee meaningfully shares in the success they help create. Exceptional guidance and support from our managers Collaborative culture & environment Opportunity to work alongside some of the best talent in the fire protection industry We're seeking a data-driven Pricing Analyst to help develop and manage pricing strategy across 53 districts during our ERP transformation. This role will focus on building a scalable, multi-site pricing model, managing pricing within NetSuite, and leveraging data from multiple business systems to drive profitable growth and pricing consistency across the organization. What You'll Do: Manage and maintain pricing structures in NetSuite Analyze data from multiple systems to identify pricing opportunities and margin improvement initiatives Develop enterprise and district-level pricing strategies Build pricing dashboards, reporting, and performance analytics Partner with Operations, Sales, and Finance leaders to implement data-driven pricing decisions Suppor