EquipmentShare

Senior Data Analyst

EquipmentShare$80K — $110K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Intermediate SQL & Python/R skills
  • Experience in applied statistics and presenting findings
  • Proven ability to manage ambiguity and deliver results
  • Strong problem-solving capabilities
  • Detail-oriented with effective workload prioritization
  • Minimum 6 years in data analytics focused on operations research

Responsibilities

  • Apply operations research to boost revenue and optimize processes
  • Utilize statistical methods to analyze datasets
  • Develop models to guide business decisions
  • Identify KPIs and create performance reports
  • Lead strategies on complex data challenges with a defensible approach
  • Produce analytical reports for senior management
  • Recognize trends in data and communicate insights effectively
  • Mentor junior team members actively

Benefits

  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO plus paid holidays
  • 401(k) plan with company match
  • Gym membership stipend and wellness programs
  • 16 hours of paid volunteer time per year
  • Access to career advancement and leadership training
  • Company events and food truck nights
Full Job Description
We9re hiring a Senior Data Analyst to support our Corporate Headquarters in Columbia, MO and we9re looking for someone who9s 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. This position is fully remote.
Primary Responsibilities
  • Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue.
  • 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.
  • Lead strategy on complex business challenges using data driven approaches, and is prepared to defend your opinion on recommendations.
  • Produce reports and models for senior leaders and other key team members
  • Identify trends, correlations and patterns in data, and present findings to stakeholder
  • Take an active role in coaching and mentoring more junior team members
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 that9s not just changing an industry for the sake of change - we9re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you9re excited about the opportunity to grow within a fast-paced, mission-driven environment.

We9re looking for people who:
  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day
Skills & Qualifications
  • ntermediate 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
  • Strong problem solving skills
  • Detail orientated and can prioritize workload to meet project deadlines
Preferred Qualifications
  • Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental Pricing concepts
Education and Experience
  • At least 6 years of experience in a data analytics role, with a focus on operations research and modeling.
  • Bachelor9s 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.

About EquipmentShare

EquipmentShare is a construction technology solutions provider that helps contractors, manufacturers and equipment rental companies optimize their fleets and construction operations with technology-driven solutions. The company’s cloud-based platform and telematics hardware help track and manage equipment, preventative maintenance, and inventory. EquipmentShare also offers equipment rental services and is the largest contractor-focused equipment rental company in the United States. The company is headquartered in Columbia, Missouri, and has offices in Kansas City, Atlanta, Phoenix, Dallas, and Nashville. EquipmentShare has been recognized as one of the fastest-growing companies in the United States by Inc. Magazine and was named to the Forbes Next Billion-Dollar Startups list in 2018.
Learn more about EquipmentShare
Size
500 employees
Industry
Founded
2014

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