Rental Asset Analyst

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🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $75.000 - $90.000 / Jahr

⏰ Vollzeit

🟢 Junior

🟡 Mittelstufe

🧐 Analyst

👻 Geisterscore 7%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of PEAK Event Services

PEAK Event Services

501 - 1000 Mitarbeiter

📦 Logistik

💼 Beratung

🍽️ Lebensmittel & Getränke

Logistics • Consulting • Food & Beverage

PEAK Event Services ist Neuenglands führender Anbieter von Event- und Zeltverleih. Unsere gebündelte Erfahrung und Expertise hat es unserem Team ermöglicht, Partnerschaften mit den angesehensten Eventplanern, Caterern, Unternehmen, Wohltätigkeitsorganisationen und Veranstaltungsorten der Region aufzubauen. Unsere unvergleichliche Auswahl an Artikeln – von Zelten und Möbeln bis hin zu Glaswaren und Tischwäsche – schafft die magische Atmosphäre hinter den Kulissen. PEAK ist mehr als ein Verleihunternehmen – wir sind ein kollaboratives Team mit einer Rund-um-die-Uhr-Engagement für unsere Kunden und einer Leidenschaft für Perfektion und Innovation. Wir gehen über das Erwartete hinaus.

Beschreibung

• Analyze rental asset utilization, availability, downtime, revenue, margin, repair costs, and lifecycle performance across the portfolio. • Build, maintain, and improve Excel-based reporting models, dashboards, trackers, and performance summaries. • Work with large datasets from ERP, rental management, finance, CRM, telematics, or other operational systems to identify trends, exceptions, and improvement opportunities. • Use AI tools and data-analysis platforms to clean, classify, summarize, and interpret large volumes of rental asset data efficiently and accurately. • Support monthly and quarterly reporting on portfolio performance, asset returns, underutilized equipment, revenue leakage, and capital allocation. • Develop insights that help improve rental pricing, portfolio mix, asset redeployment, maintenance planning, and investment decisions. • Partner with operations and finance teams to investigate variances, reconcile data, validate assumptions, and ensure reporting accuracy. • Create ad hoc analyses for leadership, including asset profitability, customer rental behavior, geographic demand, replacement timing, and disposal recommendations. • Identify opportunities to automate recurring reports, streamline manual processes, and improve data quality. • Present findings clearly to stakeholders, translating complex analysis into practical business recommendations.

🎯 Anforderungen

• Advanced Microsoft Excel capability, including pivot tables, Power Query, XLOOKUP, INDEX/MATCH, complex formulas, data validation, scenario analysis, and dashboard creation. • Strong ability to analyze large datasets, identify patterns, validate data integrity, and draw commercially useful conclusions. • Hands-on experience using AI tools to assist with data cleaning, summarization, anomaly detection, forecasting, reporting, or productivity improvement. • Strong analytical, numerical, and problem-solving skills with excellent attention to detail. • Ability to communicate insights clearly to both technical and non-technical audiences. • Experience working with operational, financial, rental, equipment, inventory, or asset management data. • Comfortable managing multiple priorities, meeting deadlines, and working independently in a fast-paced environment. • High level of curiosity, accountability, and willingness to improve processes and challenge existing reporting methods. • Bachelor’s degree in finance, accounting, business analytics, economics, operations, supply chain, data analytics, or a related field preferred. • Two or more years of experience in an analyst role, preferably within rental equipment, asset management, portfolio operations, logistics, finance, construction equipment, industrial services, or a similar asset-intensive business. • Experience with Power BI, SQL, Python, ERP systems, rental management software, CRM systems, or other business intelligence tools. • Understanding of rental asset economics, including utilization, yield, maintenance cost, depreciation, return on capital, and lifecycle value, is preferred but not required. • Highly analytical and comfortable working with imperfect or incomplete data. • Commercially aware, with the ability to connect data insights to business outcomes. • Proactive, organized, and able to take ownership of recurring reporting and improvement initiatives. • Collaborative and confident working with stakeholders across operations, finance, sales, and leadership. • Innovative mindset with a practical understanding of how AI tools can improve speed, accuracy, and insight generation.

🏖️ Vorteile

• Competitive pay + monthly bonus opportunity • Paid time off and company holidays • Comprehensive benefits package including: Medical, Dental, and Vision Insurance • Company-Paid Basic Life and AD&D Insurance • Short-Term and Long-Term Disability • Telehealth and Wellness programs • Flexible Spending Accounts (FSAs) • Employee Assistance Program • 401(k) with employer matching

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