Job Responsibilities
We are seeking an experienced, data savvy Business Operations Systems Analyst to join our Spare Service Parts Planning Systems and Analytics team.
This critical position will partner with Spares Planning management and will be responsible to optimize spares parts forecasting, inventory management, order fulfillment, and supply planning processes in SAP and Service Parts Management (SPM) systems by identifying and pursuing improvement opportunities using appropriate tools and accumulation of subject matter expertise. The position will independently drive the assigned projects/programs with stakeholders in a matrix environment and present the relevant KPI to the management.
This position can be located in the Bay Area, CA, Tualatin, OR, or Phoenix, AZ.
Other Job Responsibilities
- Ensure seamless operation of assigned systems, process areas, and troubleshooting when issues arise
- Work with technical stakeholders to support the implementation/deployment of systemic solutions or changes to existing solutions
- Enabling continuous improvement in Lam’s Planning process and systems
- Data collection, data pipeline development, and data analysis for problem solving or ad hoc needs
- Executive presentations
- Will manage and lead various projects with cross-functional teams for assigned areas
- Work with business stakeholders to determine their business needs and transform them into business requirements specifications
- Learn and use the systems and applications deployed at Lam as needed to perform above job duties
Minimum Qualifications
- Bachelor’s Degree in Supply Chain Management, Data Analytics, Operations Research, Industrial Engineering Information Systems, Computer Science
- Twelve (12) year’s experience in a similar role
- Demonstrated Project Management experience in a similar role
- Working knowledge of SAP MRP and SAP MM, SD modules
- Excellent written and verbal communication skills
- Customer focus (internal and external), critical thinking and creative problem solving
- Teamwork and collaboration, empathy and continuous learning
Preferred Qualifications
- Master’s degree in Supply Chain Management, Data Analytics, Business Administration, Operations Research, Industrial Engineering, Information Systems or related field plus 2 years of relevant experience
- SAP functional configuration project experience as an SME a plus
- Prior experience working in a supplier facing role will be a plus
- Supply chain management (APICS, CSCMP, etc.) certification will be a plus
- Prior experience in a service parts management position or in capital equipment or semiconductor industry will be a plus
- Prior knowledge or experience of forecasting and inventory optimization will be a plus
- Experience and prior training on using Lean Six sigma problem solving tools will be a plus
Salary and Benefits
CA San Francisco Bay Area – Salary Range for this position: $101,000- $220,000
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
In addition, the successful candidate for this position will become eligible for a comprehensive set of outstanding benefits. Click here to learn more about the benefits Lam offers for this position www.lambenefits.com.
Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research (“Lam” or the “Company”) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company’s intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
We Look Forward to Your Application