Strategy and M&A Analyst at Stallion
Houston, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Financial Modeling, Data Analytics, Market Research, Competitive Analysis, AI Fluency, Microsoft Excel, PowerPoint, PowerBI, Asset Utilization Analysis, Pricing Strategy, Corporate Finance, Strategic Planning, Data Visualization, ERP Systems, Communication, Quantitative Analysis

Industry

Construction Hardware Manufacturing

Description
Role Summary The Strategy Analyst supports the Chief Strategy Officer in shaping and executing Stallion’s growth strategy. Sitting at the center of strategic decision-making, this role turns data into insight - on asset performance, pricing, markets, and competitors - and uses modern AI tools to work faster and sharper. It is a high-impact, individual-contributor role for an analytical, curious self-starter who wants to influence where the company goes next.   Key Responsibilities Asset & Pricing Analytics * Analyze asset utilization, performance, and returns (e.g., ROCA, dollar and time utilization) across the fleet to identify opportunities to improve profitability. * Track asset data across the lifecycle - deployment, utilization, condition, and redeployment - to support asset visibility and capital decisions. * Lead pricing and profitability analysis, monitoring utilization, demand shifts, and market dynamics to surface pricing opportunities. * Support maintenance of standard pricing and the company price book within system tools (e.g., RentalMan), ensuring pricing data integrity and governance. * Build dashboards and reports on asset utilization and pricing effectiveness to support leadership decision-making.   Strategy & Market Analysis * Research the markets and industries Stallion operates in and evaluate new markets for expansion and growth. * Conduct competitive analysis and help articulate Stallion’s competitive advantage and positioning. * Build financial models to assess the impact of strategic initiatives and investment decisions. * Support business cases and presentations for senior leadership and the Board.   Data, Analytics & AI * Gather, clean, and analyze data from across the business (e.g., Oracle, Salesforce, RentalMan, PowerBI) to support strategic decisions. * Use AI tools (e.g., Claude, Microsoft Copilot) to accelerate research, analysis, and synthesis. * Translate complex data into clear, actionable insights and recommendations.   Cross-Functional Support * Partner with Finance, Sales, Operations, and Pricing to gather data and align on business needs. * Work with operational teams across the organization on improving asset utilization, performance, and returns * Communicate insights, risks, and recommendations clearly to stakeholders.   Education & Experience * Bachelor’s degree in Finance, Business, Economics, Data Analytics, or a related field. * 2–4 years of relevant experience in strategy, corporate finance, consulting, data analytics, or a related area.   Skills & Attributes * AI fluency: comfortable using AI tools such as Claude and Microsoft Copilot to accelerate analysis and research. * Strong analytical and quantitative skills, with sharp attention to detail and data accuracy. * Advanced Microsoft Excel and financial modeling; strong PowerPoint and Word. * Experience with data visualization and reporting tools (e.g., PowerBI); familiarity with ERP systems (e.g., Oracle) a plus. * Excellent communication and the ability to translate data into a clear story. * Proactive, ownership mindset - able to work independently and manage multiple priorities in a fast-paced environment. * Curiosity and eagerness to learn, including new analytical and AI capabilities.   Travel Up to ~15% as needed to support strategic projects and collaborate with field and operational teams.
Responsibilities
The role supports the Chief Strategy Officer by analyzing asset performance, pricing, and market dynamics to drive growth. It involves building financial models and using AI tools to translate complex data into actionable strategic insights.
Loading...