Business Data Analyst

Crown Equipment Corporation•New Bremen, OH

21h

About The Position

Crown Equipment Corporation is a leading innovator in forklift and material handling equipment and technology. The Business Data Analyst acts as a key interface among customer operations, the customer support group, and Engineering. The role improves the accuracy, completeness, consistency, and timeliness of organizational data so business leaders can make informed decisions. It defines data quality metrics, performs data profiling, develops quality checks, investigates root causes of data issues, and partners with stakeholders to implement sustainable resolutions. The analyst researches and documents data flows, storage, and business usage to support the organization’s analytics strategy and advance business goals. The role translates business and operational questions into data requirements, analysis, and actionable information.

Requirements

5–7 years of related experience.
A bachelor’s degree in business analytics, data analytics, information systems, computer science, engineering, industrial engineering, operations, or a related field; or equivalent education and relevant experience.
Strong verbal and written communication skills, including the ability to share information across business functions, manage stakeholders with diverse interests, and present actionable recommendations.
Demonstrated interpersonal skills and the ability to collaborate across business areas to influence change and support shared goals.

Nice To Haves

Strong SQL skills, including the ability to develop and troubleshoot complex queries.
Working knowledge of Power BI or similar business intelligence tools.
Demonstrated experience with data profiling and data quality analysis.
Solid understanding of business and data analytics, including the ability to apply analytical techniques to structured and unstructured data.
Ability to understand business objectives and translate them into practical analytics and data quality recommendations.

Responsibilities

Act as a key interface among customer operations, the customer support group, and Engineering.
Improve the accuracy, completeness, consistency, and timeliness of organizational data.
Define data quality metrics, perform data profiling, and develop quality checks.
Investigate root causes of data issues and partner with stakeholders to implement sustainable resolutions.
Research and document data flows, storage, and business usage to support the organization’s analytics strategy and business goals.
Translate business and operational questions into data requirements, analysis, and actionable information.