{"id":3851248,"url":"https://alion.io/job/analog-devices-staff-product-engineer-data-analytics","title":"Staff Product Engineer Data Analytics","company":{"id":58431,"name":"Analog Devices","domain":"analog.com","url":"https://alion.io/company/analog-devices","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":47,"ghost_share":0,"stale_share":0.787,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150978,"max":218624,"currency":"USD","period":"year","gross":null,"usd_annual":218624},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JMP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Statistical Process Control","optional":false}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T09:16:31Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Analog Devices\nAnalog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.\nThe Company\nEmpower Semiconductor, now part of Analog Devices, based in Silicon Valley, powers the AI revolution with its FinFast™ technology by reducing the energy footprint and total cost of ownership of data centers. Its transformational integrated voltage regulators deliver on-demand scalable power with the speed, precision and signal integrity required by AI processors. Empower’s power-management architecture shrinks solution footprint, height and component count, achieving vertical power delivery with unprecedented power density and efficiency.\nThe Opportunity\nWe are seeking an experienced Product Engineer with strong expertise in semiconductor manufacturing data analysis to support new product introduction (NPI), qualification, production ramp, and high-volume manufacturing of power management ICs. This role will leverage large-scale manufacturing, test, yield, reliability, and process data to drive product quality, operational excellence, and continuous yield improvement.\nWorking cross-functionally with design, test, quality, operations, foundry, and OSAT partners, the successful candidate will identify trends, uncover root causes, develop actionable insights, and drive corrective actions through data-driven decision making. The ideal candidate is highly analytical, technically proficient, and comfortable working independently in a fast-paced, multidisciplinary environment.\nIn This Role You Will\nOwn and manage product, test, yield, reliability, and manufacturing data throughout the product lifecycle from NPI through high-volume production.\nAnalyze wafer sort, final test, assembly, and reliability data to identify yield issues, process excursions, and opportunities for continuous improvement.\nPerform statistical analysis, data mining, and visualization of large manufacturing datasets to drive yield enhancement, quality improvement, and cycle-time reduction.\nDevelop automated data pipelines, dashboards, and reporting solutions to monitor key performance indicators including yield, quality, reliability, WIP, cycle time, and production efficiency.\nDrive root cause investigations using statistical methodologies and engineering analysis techniques to resolve product, process, and manufacturing issues.\nPartner closely with design, test, quality, operations, foundry, and OSAT teams to identify correlations between test results, process metrics, and product performance.\nSupport product qualification, characterization, production ramp, and sustaining engineering activities through data-driven analysis and recommendations.\nMonitor process and yield trends across multiple manufacturing sites and suppliers, identifying risks and escalation paths before impacting production.\nLead silicon and manufacturing performance reviews, presenting technical findings and improvement opportunities to engineering and management teams.\nSupport program management activities including milestone planning, manufacturing readiness reviews, risk assessment, resource coordination, and cross-functional alignment.\nMaintain product documentation, qualification reports, yield summaries, technical specifications, and manufacturing analytics reports.\nIdentify and implement opportunities to improve manufacturing efficiency, throughput, automation, and overall equipment effectiveness through data-driven initiatives.\nMonitor WIP, cycle time, yield, and defect metrics to drive process optimization and operational excellence.\nDevelop predictive analytics and monitoring methodologies to proactively identify manufacturing issues and improve product performance.\nYou Bring to the Table\nBachelor's or Master's degree in Electrical Engineering, Computer Engineering, Data Engineering, Computer Science, Statistics, or a related technical field.\n5-8+ years of experience in semiconductor product engineering, manufacturing engineering, yield engineering, NPI, or semiconductor data analytics.\nStrong experience analyzing semiconductor manufacturing data including wafer sort, final test, yield, reliability, assembly, and process control data.\nProficiency with data analytics and visualization tools such as Python, SQL, JMP, Spotfire, Excel, or similar platforms.\nExperience developing automated reporting solutions, dashboards, and large-scale data analysis workflows.\nKnowledge of statistical methods including DOE, SPC, regression analysis, correlation analysis, hypothesis testing, and trend analysis.\nHands-on experience working with semiconductor foundries, OSATs, and cross-functional engineering teams.\nStrong understanding of semiconductor manufacturing flows, product qualification, reliability methodologies, and production ramp activities.\nDemonstrated ability to drive yield improvement, defect reduction, root-cause analysis, and manufacturing optimization using data-driven approaches.\nExcellent communication skills with the ability to present complex data and technical findings to engineering, operations, and executive stakeholders.\nSelf-motivated, highly analytical, and capable of working independently while thriving in a collaborative team environment.\nFor positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.\nAnalog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.\nEEO is the Law: Notice of Applicant Rights Under the Law.\nJob Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $150,978 to $218,624.Actual wage offered may vary depending on work location, experience, education, training, external market data, internal payequity, or other bona fide factors.\n\nThis position qualifies for a discretionary performance-based bonus which is based on personal and company factors.\n\nThis position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.","description_format":"text","description_chars":7278,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-11-06T03:24:13Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 240 · green card filings: 59","filings_12m":240,"filings_prev_12m":269,"green_card_filings_12m":59,"median_offered_wage_usd":143554,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":29}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":49,"reasons":["conf:8","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":218624,"is_top_pay":false},"html_url":"https://alion.io/job/analog-devices-staff-product-engineer-data-analytics","json_url":"https://alion.io/job/analog-devices-staff-product-engineer-data-analytics.json","meta":{"generated_at":"2026-11-08T16:55:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35594,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58431},"rest":"https://alion.io/mcp/rest/get_company?id=58431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanalog-devices-staff-product-engineer-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fanalog-devices-staff-product-engineer-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fanalog-devices-staff-product-engineer-data-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/analog-devices-staff-product-engineer-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanalog-devices-staff-product-engineer-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3851248}},{"tool":"search_jobs","arguments":{"company":"analog.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3851248},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}