{"id":3507668,"url":"https://alion.io/job/wipro-industrial-analytics-engineer-l4","title":"Industrial Analytics Engineer L4","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-10-30T06:05:02Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T07:25:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description\nRole Overview\nThe Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.\nKey Responsibilities\nBuild and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis\nDevelop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems\nCreate and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis\nLead COGS modeling, including labor, overhead, scrap, and process-driven cost components\nSupport factory layout, site planning, and material flow decisions through data-driven insights and modeling\nPerform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans\nUtilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance\nSupport factory ramp-up, installation, and operational readiness through model validation and performance tracking\nCollaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance, Engineering) to align models with real-world constraints and business needs\nTranslate complex analytical outputs into clear, executive-level insights and recommendations\nCollaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making\nAI & Data Systems\nIntroduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making\nDesign and manage scalable data models and data architecture for IE, capacity, labor and cost analytics\nDevelop standardized systems, frameworks, and governance for data modeling, analytics, and reporting\nAutomate data collection, validation, and reporting pipelines using AI and advanced analytics tools\nEnable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization\nEstablish best practices for data quality, model standardization, and system integration across the organization\nBasic Qualifications\nBachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field\n7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis\nStrong understanding of manufacturing systems, capacity planning, and industrial engineering principles\nMandatory Skills: Robotics.Experience: 5-8 Years\n.The expected compensation for this role ranges from $60,000 to $135,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. 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