{"id":1514790,"url":"https://alion.io/job/lam-research-logistics-analyst-2-2","title":"Logistics Analyst 2","company":{"id":58649,"name":"Lam Research","domain":"lamresearch.com","url":"https://alion.io/company/lam-research","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":58,"open_postings":794,"ghost_share":0.431,"stale_share":0.028,"repost_share":0.723,"time_to_fill_p50_days":70,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Operations","role_family":"Operations","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":34000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1208},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Office","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Power Apps","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-18T15:04:18Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-04T22:29:04Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Eligibility Criteria:\nYears of Experience: Minimum 2 to 5 years\nJob Experience : 2 years of experience in Reverse logistics, repair operations, supply chain is preferrable\nEducational: Bachelor’s degree in Engineering (Mechanical/IP/IM) or MBA in supply chain or operations.\nPrimary Responsibilities:\nFollow & execute defined guidelines/checklist in managing global returns & coordinate closely with regional SPOCs(Single point of contact), Field engineers and Customer service to ensure part return within agreed SLA (Service level agreement).\nPerform analysis related to Spares Returns Order Processing, Lam’s Reverse Logistics Management System in SAP, Lam’s Quality Defect Reporting System and SAP Material Master\nAnalyze reports and metrics for deviation from plan, reconcile data variances and use that information to guide the identification of root cause and execution of corrective action activities to deliver system capability and improvement. Works with Regional Users to understand gaps. Conducts root cause and corrective actions to drive closure to the gaps\nWorks with management & global stakeholders to address multiple aspect of returns process, including reverse logistics, repairs, customer issue’s, business plans and product availability.\nWork closely with Lam Engineers, ensure return of warranty eligible parts after failure analysis.\nMonitor logistics, flow of failed parts and POD, must take proactive action if delay or escalate.\nMaintain consistent follow-up and track each stage of the return process to ensure a complete, closed-loop transaction.\nInteracts with customers and/or service representatives to handle a variety of post-sales repair/refurb/cleaning service functions\nAbility to understand issue’s related to returns, RCA(Root Cause Analysis) and provide solution in time bound manner.\nRecords and reports status of equipment returns, repairs, replacements, sales orders and delivery schedules.\nAbility to interpret large data and suggest Continuous improvement projects.\nPrepare weekly, monthly and quarterly reports, including KPI’s (Key Performance Indicators) and Operational Metrics, provide RCA on misses.\nMandatory Skills required to perform the job:\nProven experience in managing processes in the any of areas related to reverse value chain, logistics and customer service with natural flair for problem-solving, related to process and SAP etc.\nDemonstrated ownership with regards to KPI’s for his/her respective function, including RCCA for misses.\nProficiency in SAP MM/SD, MS Office Skills (Excel, Word, PowerPoint)\nHigh level of stakeholder’s interfacing skills across regions, effective listener, professional and courteous, need to be able to escalate effectively when required\nStrong Problem Solving and Decision-Making skills & Ability to work independently and meet aggressive timelines\nDesirable Skill:\nCertification in Supply chain, Logistics.\nPrior work experience in reverse value chain, Dangerous Goods report.\nExposure to new tools & technology in reverse logistics/asset recovery domain will be added advantage.\nEnd user exposure to Power BI and Power Apps.\nOur commitment\nWe 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.\nLam 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.\nLam 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.","description_format":"text","description_chars":4687,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Manufacturing","Semiconductor Manufacturing"],"lifecycle":[{"event":"open","at":"2026-09-30T09:07:36Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.88,"p_room":1,"age_days":15,"expected_fill_days":70,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lam-research-logistics-analyst-2-2","json_url":"https://alion.io/job/lam-research-logistics-analyst-2-2.json","meta":{"generated_at":"2026-10-05T00:13:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":177,"day_limit":5000,"remaining_today":4823,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}