Data Services Analyst Onsite Co-Op Spring 2025

at  Crown Equipment Corporation

COMPANY DESCRIPTION:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

JOB QUALIFICATIONS:

• Experience doing data analysis
• R, SQL, PowerBI,Tableau/QLIK a must, Map-Reduce/Hadoop a plus
• Experience in data mining and statistical modeling techniques on R (supervised and unsupervised machine learning)
• Enrolled in a Bachelor degree program for Business, Computer Science, MIS or related field.
• Must have valid driving privileges and own reliable transportation.
• Must be able to work onsite in our New Bremen, OH office.

• Assist in the following items: Perform data cleaning and statistical data analysis using R, SQL and business intelligence (BI) tool to determine new trends and patterns that might affect lift truck performance. Use different data sources (SAP ERP, Baan, columnar DB, SQL - InfoLink, flat files) to proactively generate reports; recommend and develop new metrics that may benefit Crown engineering, sales, service and customers.
• Analyze data, find patterns and develop machine learning algorithm to model alarm functioning based on fleet manager feedback. Build and manage solutions that can be used by engineering and Crown service to improve vehicle health. Work with Fleet Managers to transform business requirements into technical requirements for business improvement
• Proactively collaborate with different teams and customers to analyze functional requirements. Must be able to interpret results and communicate status reports/important findings to management and decision-makers. Communicate project expectations and status to team members and stakeholders in a clear, concise, and timely fashion. Write codes as per the coding conventions and deliver solutions as defined by documentation standards. Should be unafraid to prevent true facts and capable of defending recommendations logically
• Research and learn new tools/technologies in the analytics world which can be integrated to the present system for planning and building new products/solution. Evaluate different tools available in the market and provide recommendations based on different criteria.