Data Analyst - People
EquipmentShare
| Company | EquipmentShare |
| Category | Data & Analytics |
| Location | Kansas City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 8 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Build the Future with Us — EquipmentShare is Hiring a Data Analyst - People
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 - People at our rental facility 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 People 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 the intersection of workforce intelligence and financial themes, including staffing models, factors related to quality of hire, and leader development.
Duties/Responsibilities:
Translate people needs and data into action: create relationships with individuals across the organization, identify quick wins, choose the appropriate statistical test and partner to implement your findings.
Execute against the vision for People Analytics: Support the development of the People Analytics roadmap and execute against the projects that are prioritized. Current projects cover topics in Talent Acquisition, Compensation, Workforce Planning and Employee Listening.
Get your hands dirty in a variety of People Analytics projects, which will involve wrangling data to enable comprehensive intelligence and tapping in where needed.
Learn about various data analytics tools and methods through hands-on involvement in projects and shadowing senior team members.
Engage with team members on multiple levels, from technical experts to senior leadership, gaining insights into the strategic role of data analytics in business decisions.
Prepare and analyze people-related financial data, such as labor capitalization reports.
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
Unlimited Paid Time Off
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
Required Skills/Abilities:
Python or R experience required.
SQL experience preferred.
Strong organizational skills and attent
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