Logistics Analyst, Program Lead

Lam Research Salzburg GmbH; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Lam Research in Bangalore is seeking a Logistics Analyst to orchestrate material flow, optimize supply chain operations and manage inventory levels. You will work across packaging, warehousing, and transportation, using data analysis to drive cost improvements and performance gains.

The role emphasizes cross-functional collaboration, process standardization, and data-driven decision making to support Lam’s global manufacturing operations.

Qualifications

• Bachelor’s degree in Industrial Engineering, Packaging Engineering, Supply Chain, Operations, or related field.
• 8 years of experience in packaging, warehouse operations & transportation.
• Strong analytical skills with Excel; SQL/BI tools is a plus.

Responsibilities

• Analyze shipment, order and SKU data to identify packaging drivers of freight cost.
• Develop packing standards to balance cost, protection and productivity.
• Lead carton utilization and right-sizing initiatives to reduce box usage.
• Optimize pallet utilization and load building to improve trailer fill rates.
• Collaborate with procurement and suppliers to source cost-effective packaging materials.
• Track packaging KPIs and provide regular reporting/dashboards.
• Support continuous improvement in packing workstations for throughput and quality.
• Ensure safety, sustainability and regulatory compliance.

Skills

Analytical skills

Excel

SQL/BI tools

Stakeholder management

Education

Bachelor’s degree in Industrial Engineering

Tools

WMS/TMS systems

Shipping platforms

Packaging testing tools

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date: Jul 29, 2026

Location:

Bangalore, IN-Bangalore, IN

Worker Category: Virtual Flex

The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics,and high-volume manufacturing together to drive the engine of our global business operations.We help Lam deliver industry-leading solutions with speed and efficiency, while activelysupporting the resilient and profitable growth of Lam's business.

The impact you’ll make

As a Logistics Analyst at Lam, you'll orchestrate and streamline material flow, ensuring efficient supply chain operations and maintaining optimal inventory levels. Your role encompasses a broad set of responsibilities, including supply chain services, inventory control, and ensuring critical parts availability through enterprise warehouse and inventory systems. Your skilled analysis will support production planning and volume studies. Your expertise will be pivotal in optimizing Lam's logistics plans for seamless operations.

What you’ll do

• Analyze shipment, order and SKU-level data to identify packaging drivers of freight cost (dimensional weight, cube utilization, damage/returns, accessorial, split shipments).
• Develop and maintain packing standards (carton selection, void fill, dunnage, pallet patterns, max stack height) to balance cost, protection, and productivity.
• Lead carton utilization and right-sizing initiatives to reduce box count, corrugate usage and dimensional weight charges.
• Optimize pallet utilization and load building (pallet footprint, ti/hi, stretch wrap, corner boards) to improve trailer/container fill rates and reduce LTL/FTL cost per unit.
• Analysis Tilt/Shock watch utilization and work with respective product group to evaluate alternate options to reduce freight cost and ensure product safety.
• Conduct packaging trials (ISTA/transport simulation as applicable) and implement changes using controlled pilots and standard work updates.
• Partner with Transportation/Logistics to align packaging with carrier constraints (size/weight limits, NMFC/Freight class, minimum charges, surcharges).
• Collaborate with Procurement and suppliers to source cost-effective packaging materials and manage specifications, MOQs, and lead times.
• Track packaging-related KPIs and savings (cost per shipment, DIM impact, damage rate) and provide regular reporting/dashboards.
• Support continuous improvement (Kaizen/Lean) in packing workstations to improve ergonomics, throughput, and quality.
• Ensure compliance with safety, sustainability, and regulatory requirements (hazmat/labeling where applicable).

Who we’re looking for

• Bachelor’s degree in Industrial Engineering, Packaging Engineering, Supply Chain, Operations, or related field (or equivalent experience).
• 8 years of experience in packaging, warehouse operations & transportation
• Working knowledge of freight cost drivers including dimensional weight (DIM), cube utilization and accessorial charges.
• Strong analytical skills with proficiency in Excel (pivot tables, lookups, data cleansing); experience with SQL/BI tools is a plus.
• Ability to translate analysis into standard work, train operators and sustain changes on the floor.
• Effective communication and stakeholder management across operations, logistics, and procurement.

Preferred qualifications

• Background in Packaging Engineering or experience with packaging testing standards (e.g., ISTA) and damage reduction programs.
• Experience with cartonization/pack optimization tools, WMS/TMS systems, or shipping platforms.
• Understanding of LTL concepts including NMFC, freight class, density, and reweigh/reclass processes.
• Lean/Six Sigma certification (Yellow/Green Belt) or demonstrated continuous improvement leadership.

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.

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