Data Analyst II

EquipmentShare • Columbia, MO

2d • Remote

About The Position

At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before . We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a Data Analyst II to support our Corporate Headquarters in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. As a key member of the Operations Analytics team, you will be responsible for shaping strategic decisions through advanced modeling and analysis. You will play a crucial role in extracting actionable insights from our data to drive informed decision-making. This role is particularly focused on operations research themes within supply chain, modeling, and conducting comprehensive analyses to optimize our processes and enhance overall efficiency. This position is fully remote.

Requirements

• Intermediate SQL & Python/R
• Required Experience in applied statistics and communicating 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 2 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
• Must be able to sit for prolonged periods at a desk and work on a computer.
• Must be able to lift up to 5 pounds at times.

Nice To Haves

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

Responsibilities

• Apply analytics and/or 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 business challenges (with minimal supervision) using data driven approaches, and be prepared to defend your opinion on recommendations.
• Coach and mentor more junior team members

Benefits

• Competitive compensation
• Full medical, dental, and vision coverage for full-time employees
• Generous PTO + paid holidays
• 401(k) + company match
• Gym membership stipend + wellness programs (earn PTO and prizes!)
• Company events, food truck nights, and monthly team dinners
• 16 hours of paid volunteer time per year — give back to the community you call home
• Career advancement, leadership training, and professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees