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Forming Our Future together FormFactor, 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. Rooted 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. Shift The regular hours for this position are day shift. Job Description We 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. The 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. This 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. Key Responsibilities Data Automation & Process Transformation Assist with transformation of fragmented, manual planning processes into scalable, automated analytics workflows. Define and implement scalable data pipelines and data models integrating ERP, planning systems, and external data sources. Drive standardization of data flows and reduce dependency on manual data manipulation and spreadsheets. Partner with IT to ensure analytics solutions are aligned with enterprise architecture and scalable for global deployment. Advanced Analytics, Modeling & Decision Support Support 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. Support monthly scenario planning and what-if analysis to support SIOP and executive decision-making. Provide structured analysis of trade-offs across supply, demand, cost, and service. Translate complex analytical outputs into clear, actionable recommendations for all stakeholders. Enterprise Integration & Cross-Functional Collaboration Assist cross-functional alignment between Planning, Operations, Procurement, Logistics, Finance, and IT to define requirements and embed analytics into business processes. Serve as the bridge between business and technology, ensuring solutions are practical, adopted, and sustained. Partner with IT to deploy models, dashboards, and workflows into production environments with enterprise-grade performance and governance. Data Governance & Standards Ownership Outline data governance for planning analytics, including Data quality standards, Metric definitions, and Reporting consistency across sites. Establish frameworks for data validation, monitoring, and continuous improvement. Ensure alignment with enterprise data platforms, security, and compliance requirements. Planning Analytics Strategy & Capability Development Propose actions for the development of the Planning Analytics & Automation capability; defining standards, tools, and roadmap to scale analytics across the global supply chain. Establish and standardize data models, KPIs, and planning metrics to ensure consistency and comparability across sites and functions. Identify and prioritize high-impact use cases to improve planning performance, decision speed, and visibility across SIOP and execution. Drive adoption of analytics tools and insights across planning, operations, and leadership teams. Preferred Qualifications Experience in: Python or R, SQL (data extraction, transformation, performance optimization), and Power BI, Tableau, or similar BI tools. Experience with Oracle preferred. CSCP certification Understanding of end-to-end supply chain processes (demand, supply planning, production, inventory, logistics), preferably in a high-mix, low-volume environment. Demonstrated ability to design and deploy scalable analytics solutions, not just one-off analyses. Ability to translate complex data into business insights and high-level recommendations. Experience working with enterprise data environments, including ERP systems and cross-functional datasets. Experience with supply chain planning systems (Kinaxis, SAP IBP, or similar). Experience with cloud data platforms (Azure, AWS, Snowflake). Skills Communication, Cross-Functional Collaboration, Data Analysis, Data Reporting, Data Science, Enterprise Resource Planning (ERP), Inventory Logistics, Supply Chain, Supply Chain Inventory Management, Supply Chain Logistics Education & Experience No previous professional experience | Required Equal Employment Opportunity Statement FormFactor 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. For 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. A role is remote-eligible only when it is listed as "Remote" in the job location.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.