Senior Data Analyst

EquipmentShare is transforming the construction industry through innovative technology, real-time support, and data-driven solutions. The Senior Data Analyst will support the Pricing team by applying advanced modeling, statistical analysis, and operations research to optimize rental and used fleet sales, improve processes, and maximize revenue. The role will also develop KPIs, reports, dashboards, and recommendations while mentoring junior team members.

Responsibilities:

• Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue
• 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
• Lead strategy on complex business challenges using data driven approaches, and is prepared to defend your opinion on recommendations
• Produce reports and models for senior leaders and other key team members
• Identify trends, correlations and patterns in data, and present findings to stakeholder
• Take an active role in coaching and mentoring more junior team members

Requirements:

• Intermediate SQL & Python/R Required
• Experience in applied statistics and communicating and presenting results to a lay audience
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results
• Strong problem solving skills
• Detail orientated and can prioritize workload to meet project deadlines
• At least 6 years of experience in a data analytics role, with a focus on operations research and modeling
• Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field
• Must be qualified to work in the United States
• Experience with machine learning algorithms
• Knowledge of Equipment Sales and Equipment Rental Pricing concepts