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.
Purpose of Position
The Senior Engineering Data Analyst plays a critical role in organizing and analyzing internal and external data to develop new and impactful insights to increase revenue and profit. This critical position leads analytic projects, targeted at developing new insights and understanding which can help with strategy and decision making. In addition, this position maintains, executes, and updates many key engineering business processes. This fast-paced position will also engage cross functionally to develop / execute data analytics projects to support growth. This position is located at our World Headquarters in North Canton, Ohio.
Essential Responsibilities
- Develop and Implement Power BI dashboards for the management team to assess effectiveness & efficiency in the execution of projects and product vitality.
- Execute analysis to create & maintain Power BI dashboard for long range forecast/capacity for engineered bearings.
- Provide PFEP (Plan For Every Part) support for capacity expansion, rationalization and integration projects.
- Execute 4Ps analysis for target markets, connecting data types of: sales, gross margin, CRM, win/loss, supply chain performance, cost, pricing, etc.
- Perform ad-hoc product data analysis to support product strategy development, corporate projects, due-diligence and synergy cases for new acquisitions.
- Recommend / Implement continuous improvement (CI) actions related to data management for corporate processes.
- Participate in gate, performance or portfolio review meetings, presenting data at executive level to support business decisions.
Required Technical/Functional Skills
- Proficient in statistical analysis, Microsoft Office, SQL, Data Services, Power Query, Power BI, SAP, general database structure, and integration
- Logical, process-oriented thinking
- Strong analytical and process documentation skills
- Excellent problem-solving skills, and ability to derive insight
- Advanced data retrieval and manipulation skills
- Excellent verbal and written communication and presentation of data skills
- Demonstrated effective project management skills
- Understanding of relevant business processes
Minimum Qualifications
- Bachelor's degree in engineering, business, IT or similar with at least 7 years of related experiences in engineering, data management, data integration and/or IT.
- The ideal candidate will have a proven career of high performance through both technical and business development experiences.
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.
