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 Senior Data Analyst 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 Pricing 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 Pricing optimization themes within rental and used fleet sales - modeling and conducting comprehensive analyses to optimize our processes and enhance overall efficiency. This position is fully remote.
Primary 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
Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.
We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.
Perks & 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 and food truck nights
- 16 hours of paid volunteer time per year — give back to the community you call home
- Career advancement, leadership training, and professional development opportunities
You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment.
We’re looking for people who:
- See challenges as opportunities
- Embrace change and continuous improvement
- Bring energy, effort, and optimism every day
- ntermediate 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
- Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental Pricing concepts
- 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
- 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.
At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.
We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.
EquipmentShare is an EOE M/F/D/V.
Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.
Skills Required
- Intermediate SQL
- Python or R (intermediate)
- Experience in applied statistics and presenting results to non-technical audiences
- Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering results
- Strong problem solving skills
- Detail oriented and able to prioritize workload to meet project deadlines
- At least 6 years of experience in a data analytics role with 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
What We Do
EquipmentShare is a nationwide equipment and digital solutions company serving the construction industry. We’re on a mission to give contractors and construction companies build with control thanks to our T3 technology platform and equipment rental, retail and service solutions. We’re more than an equipment rental company. We share cloud-connected technology and equipment solutions that simplify construction work.
