Analytics Engineer

EquipmentShare • Columbia, MO

3d • Remote

About The Position

Build the Future with Us — EquipmentShare is Hiring an Analytics Engineer 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 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. This position is fully remote.

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
• 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
• Experience modeling using dbt
• Experience working with git
• High School Diploma or Equivalent Education or Experience required

Nice To Haves

• Experience using Looker Business Intelligence Tool

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
• Continuously monitor, improve, and proactively identify potential issues to improve the data pipelines and ETLs
• 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
• Unlimited PTO + paid holidays
• 401(k) + company match
• Gym membership stipend + wellness programs (earn PTO and prizes!)
• 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
• Education Level: High school or GED