Methods Machine Tools established in 1958 with three employees and a handful of refurbished machines. Since then, the company has become one of the largest privately owned machine tool importers in North America.
Methods designs and implements custom machining setups, including machine tool selection, automation integration, and turnkey automation cells. The corporate campus in Sudbury, Mass., comprises a showroom/technical center, which contains automation, applications, and a full range of cutting-edge machines. Methods has more than 375 employees, nine technology centers, one high precision machining center, and has installed in excess of 40,000 machines throughout North America.
We currently have the following career opportunity available in Sudbury, MA:
Data Analyst
Methods Machine Tools is looking for a Data Analyst to join our sales operations team. Our mission is to manage our business through key insights from business data and analytics, leveraging business systems.
Based on your understanding of data analytics, you will be gathering requirements for reporting on key business metrics, developing executive reports and self-servicing dashboards to be utilized by Sales, Operations, Product Managers and Executive staff.
In general, you will be an organized and collaborative team member with good communication, analytical and technical aptitude with the ability to deliver solutions for the business. You will be responsible for establishing and maintaining positive relationships, leveraging your thorough understanding of analytics. You are capable of understanding data analytics and reporting on key operational metrics, including best practices to apply a disciplined and detail-oriented approach to execution.
Responsibilities:
Qualifications
Methods Machine is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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