{"id":34422,"url":"https://alion.io/job/formfactor-supply-chain-data-engineer","title":"Supply Chain Data Engineer","company":{"id":4792,"name":"FormFactor","domain":"formfactor.com","url":"https://alion.io/company/formfactor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":16,"ghost_share":0,"stale_share":0.688,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":198000,"period":"year","method":"role_country_seniority_unknown","sample_n":3203},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-16T01:03:37Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Forming Our Future together\nFormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle - from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.\nRooted in our core values - Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People - we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.\nShift:\nThe regular hours for this position are day shift.Job Description:\nWe are seeking a Supply Chain Data Engineer to assist the development of a scalable Planning Analytics and Automation capability that enables data-driven decision-making across a complex, global supply chain. This individual will work across a team to define the strategy, standards, and roadmap for planning analytics, transforming fragmented data environments into integrated, enterprise-level solutions that support SIOP and operational execution.\nThe role combines fluency in advanced analytics, data engineering, and supply chain processes to translate ambiguous business challenges into scalable analytical frameworks, predictive models, and system-enabled decision support tools.\nThis individual will help to drive cross-functional alignment, partner with IT to operationalize solutions, and ensure that analytics capabilities are embedded into planning processes and business decisions-not just delivered as standalone outputs.\nKey Responsibilities:\nData Automation & Process Transformation\nAssist with transformation of fragmented, manual planning processes into scalable, automated analytics workflows.\n\nDefine and implement scalable data pipelines and data models integrating ERP, planning systems, and external data sources.\n\nDrive standardization of data flows and reduce dependency on manual data manipulation and spreadsheets.\n\nPartner with IT to ensure analytics solutions are aligned with enterprise architecture and scalable for global deployment.\n\nAdvanced Analytics, Modeling & Decision Support\nSupport design and deploy predictive and prescriptive models to support supply chain decision-making, including Demand forecasting and signal consumption, Inventory optimization and policy setting, Capacity, backlog, and shortage modeling, and Supplier performance and risk analytics.\n\nSupport monthly scenario planning and what-if analysis to support SIOP and executive decision-making.\n\nProvide structured analysis of trade-offs across supply, demand, cost, and service.\n\nTranslate complex analytical outputs into clear, actionable recommendations for all stakeholders.\n\nEnterprise Integration & Cross-Functional Collaboration\nAssist cross-functional alignment between Planning, Operations, Procurement, Logistics, Finance, and IT to define requirements and embed analytics into business processes.\n\nServe as the bridge between business and technology, ensuring solutions are practical, adopted, and sustained.\n\nPartner with IT to deploy models, dashboards, and workflows into production environments with enterprise-grade performance and governance.\n\nData Governance & Standards Ownership\n\nOutline data governance for planning analytics, including Data quality standards, Metric definitions, and Reporting consistency across sites.\n\nEstablish frameworks for data validation, monitoring, and continuous improvement.\n\nEnsure alignment with enterprise data platforms, security, and compliance requirements.\n\nPlanning Analytics Strategy & Capability Development\nPropose actions for the development of the Planning Analytics & Automation capability; defining standards, tools, and roadmap to scale analytics across the global supply chain.\n\nEstablish and standardize data models, KPIs, and planning metrics to ensure consistency and comparability across sites and functions.\n\nIdentify and prioritize high-impact use cases to improve planning performance, decision speed, and visibility across SIOP and execution.\n\nDrive adoption of analytics tools and insights across planning, operations, and leadership teams.\n\nPreferred Qualifications:\nExperience in: Python or R, SQL (data extraction, transformation, performance optimization), and Power BI, Tableau, or similar BI tools. Experience with Oracle preferred.\n\nCSCP certification\n\nUnderstanding of end-to-end supply chain processes (demand, supply planning, production, inventory, logistics), preferably in a high-mix, low-volume environment.\n\nDemonstrated ability to design and deploy scalable analytics solutions, not just one-off analyses.\n\nAbility to translate complex data into business insights and high-level recommendations.\n\nExperience working with enterprise data environments, including ERP systems and cross-functional datasets.\n\nExperience with supply chain planning systems (Kinaxis, SAP IBP, or similar).\n\nExperience with cloud data platforms (Azure, AWS, Snowflake).\n\nSkills:\nCommunication, Cross-Functional Collaboration, Data Analysis, Data Reporting, Data Science, Enterprise Resource Planning (ERP), Inventory Logistics, Supply Chain, Supply Chain Inventory Management, Supply Chain LogisticsEducation & Experience:\nNo previous professional experience | RequiredEqual Employment Opportunity Statement\nFormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.\nFor roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, KY, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. 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