The group you'll be a part of
You will join the Global Manufacturing team, where analytics, operational excellence, and process improvement come together to drive performance across a global factory network. The team partners across business functions to solve complex challenges, enable smarter decisions, and deliver meaningful business impact.
The impact you'll make
As a Business Operations Analyst 4, you will play a key role in shaping analytics strategy and driving transformation across Global Manufacturing. This is a high-impact opportunity for a strategic, data-driven leader who can solve complex problems, build scalable capabilities, and influence decisions that improve operational performance and business results.
What You'll Do
You will lead global-scale analytics initiatives that improve operational excellence across manufacturing functions. In this role, you will combine advanced analytics, statistical modeling, and business insight to define priorities, guide cross-functional execution, and deliver measurable outcomes.
- Lead high-impact business and data analysis to identify root causes, uncover opportunities, and turn complex data into actionable insights and scalable solutions.
- Shape the analytics roadmap by aligning priorities with business strategy and identifying high-value opportunities for analytics, automation, and AI.
- Build scalable analytics solutions such as forecasting, optimization, and anomaly detection models that improve manufacturing KPIs and decision quality.
- Partner across functions to design solutions by translating business needs into technical requirements and guiding delivery across teams.
- Strengthen long-term capability in data, tools, and talent to support the analytics roadmap and sustain business impact.
- Set data governance standards to ensure data quality, integrity, reproducibility, and compliance.
- Influence decisions through clear communication by turning analysis and model outputs into recommendations for technical teams, business partners, and senior leaders.
- Coach and develop analytical talent by mentoring junior analysts and fostering a data-driven culture of continuous improvement.
Who We're Looking For
- Bachelor's degree in Computer Science, Data Science, Mathematics, Business Administration, Engineering, or a related field.
- 8–10 years of experience delivering analytics solutions in Global Operations, manufacturing, or similarly complex business environments.
- A strong track record of leading complex, cross-functional initiatives and solving ambiguous business problems with measurable results.
- Deep expertise in dashboarding, data visualization, and scalable analytics solution design using tools such as Power BI or SAP Business Objects.
- Strong experience with data warehouse and ETL architecture, development, and best practices.
- Advanced knowledge of SQL, SAP ABAP, HANA technologies, and ERP systems such as SAP ECC in manufacturing and materials environments.
- Strong knowledge of statistical methods and their application to operational and business decision-making.
- Recognized expertise in manufacturing or operations, with the ability to turn technical depth into enterprise-scale business solutions.
- Excellent stakeholder management and influencing skills across multiple business functions.
Preferred Qualifications
- Excellent written, verbal, and presentation skills, including the ability to communicate complex ideas to senior leaders.
- 4+ years of experience developing advanced reports and dashboards using tools such as Power BI, Qlik Sense, Tableau, or SAP Business Objects.
- 4+ years of experience in data warehouse and ETL architecture and development.
- 5+ years of experience with SQL, SAP ABAP, HANA technologies, or similar data platforms.
- 5+ years of experience with SAP ECC or other ERP systems supporting manufacturing and materials management.
- Experience applying advanced statistical methods such as regression, hypothesis testing, and distribution analysis to complex business problems.
- Advanced proficiency with Microsoft Office tools for analysis, communication, and executive presentations.
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.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. On-site Flex you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. 
