EquipmentShare
Data Analyst - Fleet Operations
EquipmentShare, Chicago, Illinois, United States, 60290
EquipmentShare is Hiring a Data Analyst
EquipmentShare is searching for a Data Analyst for our corporate office in Columbia, MO, to support our Fleet Operations team as the department continues to grow. This new team member may be based anywhere in the United States and offers a remote/hybrid work option, but must be able to meet with management in person at least quarterly.
Your Opportunity to Grow With Us
The EquipmentShare team is a close-knit group of professionals who all share an interest in providing a service and product that improves our customer’s experience. Above all, we care about building something people want, and the only way to do that is by assembling a skilled, passionate and talented team. Our mission is to improve productivity and efficiency throughout the entire construction industry, and our people are how we make achieving that goal possible.
We’re seeking a Data Analyst who loves a challenge and wants the opportunity to grow with a fast-paced company.
We are seeking a dynamic and experienced Data Analyst with a focus on Operations Research to join our fast-paced environment. The ideal candidate will possess strong analytical skills, a keen eye for detail, modeling experience, and the ability to navigate ambiguity while delivering actionable insights. As a key member of our team, you will play a crucial role in 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 operations research themes within supply chain, modeling, and conducting comprehensive analyses to optimize our processes and enhance overall efficiency.
Primary Responsibilities
Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as enhance operational efficiency.
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.
Tackle complex business challenges using data driven approaches, and be prepared to defend your opinion on recommendations.
Skills & Qualifications
Intermediate SQL & Python/R Required
Proven experience (2+ years) in a data analyst role, with a focus on operations research and modeling.
Experience in applied statistics and communicating results to a lay audience
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results
Strong problem solving skills
Must be eligible to work in the United States without sponsorship
Preferred Qualifications:
Experience with machine learning algorithms
Knowledge of Supply Chain principles
EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.
#LI-Remote
EquipmentShare is searching for a Data Analyst for our corporate office in Columbia, MO, to support our Fleet Operations team as the department continues to grow. This new team member may be based anywhere in the United States and offers a remote/hybrid work option, but must be able to meet with management in person at least quarterly.
Your Opportunity to Grow With Us
The EquipmentShare team is a close-knit group of professionals who all share an interest in providing a service and product that improves our customer’s experience. Above all, we care about building something people want, and the only way to do that is by assembling a skilled, passionate and talented team. Our mission is to improve productivity and efficiency throughout the entire construction industry, and our people are how we make achieving that goal possible.
We’re seeking a Data Analyst who loves a challenge and wants the opportunity to grow with a fast-paced company.
We are seeking a dynamic and experienced Data Analyst with a focus on Operations Research to join our fast-paced environment. The ideal candidate will possess strong analytical skills, a keen eye for detail, modeling experience, and the ability to navigate ambiguity while delivering actionable insights. As a key member of our team, you will play a crucial role in 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 operations research themes within supply chain, modeling, and conducting comprehensive analyses to optimize our processes and enhance overall efficiency.
Primary Responsibilities
Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as enhance operational efficiency.
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.
Tackle complex business challenges using data driven approaches, and be prepared to defend your opinion on recommendations.
Skills & Qualifications
Intermediate SQL & Python/R Required
Proven experience (2+ years) in a data analyst role, with a focus on operations research and modeling.
Experience in applied statistics and communicating results to a lay audience
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results
Strong problem solving skills
Must be eligible to work in the United States without sponsorship
Preferred Qualifications:
Experience with machine learning algorithms
Knowledge of Supply Chain principles
EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.
#LI-Remote