Data Analyst - Fleet Operations

Position Overview

EquipmentShare is hiring a Data Analyst for our corporate office in Columbia, MO, to support our Fleet Operations team as the department continues to grow. This role offers a remote/hybrid work option, with the expectation to meet with management in person at least quarterly.

At EquipmentShare, our close-knit team is dedicated to improving our customer’s experience while driving productivity and efficiency throughout the construction industry. We are seeking a dynamic and experienced Data Analyst with a focus on Operations Research who thrives in a fast-paced environment and is eager to contribute actionable insights for strategic decision-making.

Key Responsibilities

• Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as enhance operational efficiency.
• Utilize statistical techniques to analyze large datasets and extract meaningful insights.
• Develop and implement modeling to support business decision-making based on stakeholder-driven requirements.
• Identify key performance indicators (KPIs) and develop reports and dashboards to monitor and communicate business performance.
• Tackle complex business challenges using data-driven approaches, and be prepared to defend your recommendations.

Required Qualifications

• Intermediate SQL & Python/R Required
• Proven experience (2+ years) in a data analyst role, with a focus on operations research and modeling.
• Experience in applied statistics and the ability to communicate results to a lay audience.
• Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering results.
• Strong problem-solving skills.
• Must be eligible to work in the United States without sponsorship.

Preferred Qualifications

• Experience with machine learning algorithms.
• Knowledge of Supply Chain principles.

EquipmentShare is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.