Engineering Product Development Data Analyst

Your Career Begins at Timken 
If you're ready for a challenging career that provides you with the ability to advance personally and professionally, look to Timken.  Our employees make the world more productive by improving the efficiency and reliability of the machinery that keeps industry in motion.

What Timken makes possible begins with you.

The Timken Company, a diversified industrial leader, is globally recognized for our specialized engineering expertise in friction management, power transmission, and materials science, as well as our customer-centric, innovative problem solving. If you're ready for a challenging career that provides you with the ability to advance personally and professionally, look to Timken.  Our employees make the world more productive by improving the efficiency and reliability of the machinery that keeps industry in motion.

The Opportunity: 

The Timken Company is seeking an Engineer with analytical skills and good management of IT systems to join our Product & Projects Portfolio Management team. We are looking for a multi-skilled analytics engineer that can do everything from metrics to complex analysis, through the lens of systemic thinking, while applying an understanding of global product and manufacturing process operation.

The Fit:

Are you passionate about engineering analytics with a relentless drive for agility and problem-solving? Do you thrive in fast-paced environments where every day brings new challenges and opportunities? If so, we want you on our team! As a valued member on our Product & Process Analytics team, you will play a pivotal role in harnessing the power of data to drive actionable insights, streamline decision-making, and drive growth across the organization.

The Basics:

• Interact with our globally integrated ERP (SAP) and Engineering Platforms (Teamcenter, CAD, etc.).
• Design and implement interactive dashboards and reports using Microsoft Power BI to visualize key product, processes and market metrics and trends for stakeholders at all levels of the organization.
• Utilize advanced statistics to conduct ad-hoc analysis and uncover actionable insights that inform product strategies.
• Design and develop predictive models to forecast demand, product vitality, growth opportunities, and optimize project definition and resource allocation for execution.
• Maintain an optimized data warehouse to enable efficient analytics processes.
• Implement automation solutions using IT tools to streamline product and program management processes, improve efficiency, and enhance data integrity.
• Lead or participate in cross-functional teams to execute corporate projects.
• Create, maintain, and ensure quality and integrity of key Product Pipeline data sets.
• Stay abreast of emerging trends and best practices in product analytics, AI, and Engineering technology, and make recommendations for leveraging new tools and techniques.
• Communicate findings and recommendations to senior leadership and other stakeholders through clear and compelling presentations and reports.

To Be Successful You Will Need:

• BS in Engineering, Business, Mathematics, Data Science or related fields with relevant work experience in engineering environments and at least 3 years of technical data analytics experience.
• Advanced skills in data mining and manipulation.
• Proficiency in SQL for data manipulation.
• Experience with SAP or Teamcenter, Microsoft Power BI, and AI/ML.
• Project management experience.
• Logical, process-oriented thinking.
• Excellent problem-solving skills, and ability to derive insight.
• Experience collaborating with teams and solutions to enable project completion.
• Demonstrated ability to successfully handle competing priorities & deliverables in a fast-paced, dead-line oriented environment.
• This position may require access to United States export controlled technical data (“CTD”) and hardware under the Departments of US State (ITAR) and/or Commerce (EAR).  Eligible candidates are US Citizens, Green Card holders, Asylees or others eligible to receive US export license authorizations. Candidate must be authorized to work in the US.

All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status or any other basis protected by applicable law.