Analytics Engineer

EquipmentShare • Columbia, MO

1d • Onsite

About The Position

Build the Future with Us — EquipmentShare is Hiring an Analytics Engineer I
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 an Analytics Engineer to support our Corporate HQ 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.

Requirements

• Desire to thrive in a fast-paced environment and strong ability to adapt as priorities, timelines, and project scope shift.
• Strong verbal and written communication skills
• Ability to work without constant supervision and is a self starter
• Ability to work quickly and think logically, especially under pressure
• Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle
• Sound communication skills and the ability to influence and manage cross-functional stakeholders.
• Detail oriented, but able to pivot and re-prioritize efforts as required.
• Ability to use diplomacy and tact when handling problems
• Ability to be flexible and adapt to change in a positive manner
• High School Diploma or Equivalent Education or Experience required
• At least 5 years of SQL experience, creating complex SQL solutions to business problems
• At least 2 years of Python experience, creating scalable processes to solve business problems
• At least 2 years of experience data modeling
• Experienced with dbt
• Experience working with git

Nice To Haves

• Experience working with confidential data within departments like Finance or Accounting, preferred
• Experience using Looker Business Intelligence Tool, preferred

Responsibilities

• Develop and manage data pipelines using SQL and Python that extract data from various sources and transform it according to business rules
• Create/update data models in dbt to ensure scalable, robust data solutions
• Convert business needs into technical specifications and establish a timetable for job completion
• Create, test, and deploy changes
• Support day-to-day reporting and analytics, reducing complexity in accessing and querying cross-functional data

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED
• Number of Employees: 501-1,000 employees