Data Analyst II job at EquipmentShare in Columbia, MD, Charlotte, NC, Dallas, TX, Denver, CO, Kansas City, MO, Saint Louis, MO
Title: Data Analyst II
Location: Columbia, MO
Employment TypeFull Time Exempt
Job Description:
Work From:
Columbia, MO; Charlotte, NC; Dallas, TX; Denver, CO; Kansas City, MO; St. Louis, MO
Job Type
Remote
Build the Future with Us — EquipmentShare is Hiring a Data Analyst II
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.
Primary 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
Why EquipmentShare?
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
About You
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
Skills & Qualifications
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
Preferred Qualifications
Experience with machine learning algorithmsKnowledge of Supply Chain principles
Education and Experience
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
Physical Requirements
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.
A Workplace For All
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.
Apply Now
Apply Now
Location: Columbia, MO
Employment TypeFull Time Exempt
Job Description:
Work From:
Columbia, MO; Charlotte, NC; Dallas, TX; Denver, CO; Kansas City, MO; St. Louis, MO
Job Type
Remote
Build the Future with Us — EquipmentShare is Hiring a Data Analyst II
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.
Primary 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
Why EquipmentShare?
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
About You
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
Skills & Qualifications
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
Preferred Qualifications
Experience with machine learning algorithmsKnowledge of Supply Chain principles
Education and Experience
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
Physical Requirements
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.
A Workplace For All
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.
Apply Now
Apply Now