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Senior Data Analyst

EquipmentShare · Columbia, MO (Headquarters) · On-site

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About EquipmentShare

Rent the newest construction equipment and tools, track your entire fleet and put your assets to work with EquipmentShare at one of our 430 locations. Backed by Insight and Y Combinator.

About the role

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.

What they're looking for

  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day
  • Intermediate 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
More about this role

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.

  • Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue.
  • Utilize statistical techniques...

Read the full posting on EquipmentShare's site ↗

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