Rental Asset Analyst

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $75 000 - $90 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🧐 Analyste

👻 Score fantôme 7%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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PEAK Event Services

Site WebLinkedInTous les Emplois

501 - 1000 employés

📦 Logistique

💼 Conseil

🍽️ Alimentation et boissons

Logistics • Consulting • Food & Beverage

PEAK Event Services est la référence en Nouvelle-Angleterre pour la location d'équipements et de tentes pour événements. Notre expérience et notre expertise conjointes ont permis à notre équipe d'établir des relations solides avec les planificateurs d'événements les plus respectés, traiteurs, entreprises, associations caritatives et lieux de réception de la région. Notre sélection inégalée d'articles – des tentes et meubles à la vaisselle et aux linges de table – crée une magie en coulisse. PEAK est bien plus qu'une simple entreprise de location – nous sommes une équipe collaborative, entièrement dédiée à nos clients, avec une passion pour la perfection et l'innovation. Nous dépassons toutes les attentes.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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