Supply Chain Data Engineer - Remote
Originally posted 30 July 2026 by the employer.
About the role
This role involves assisting in the development of a scalable Planning Analytics and Automation capability to enable data-driven decision-making across a complex, global supply chain, transforming fragmented data environments into integrated, enterprise-level solutions that support SIOP and operational execution.
What you'll do
- Assist with transformation of fragmented, manual planning processes into scalable, automated analytics workflows.
- Support design and deploy predictive and prescriptive models to support supply chain decision-making.
- Assist cross-functional alignment between Planning, Operations, Procurement, Logistics, Finance, and IT to define requirements.
- Outline data governance for planning analytics, including Data quality standards, Metric definitions, and Reporting consistency.
- Propose actions for the development of the Planning Analytics & Automation capability, defining standards, tools, and roadmap.
What you'll need
- Fluency in advanced analytics, data engineering, and supply chain processes.
- Ability to translate ambiguous business challenges into scalable analytical frameworks, predictive models, and system-enabled decision support tools.
- Experience in Oracle, Python or R, SQL (data extraction, transformation, performance optimization).
- Experience with Power BI, Tableau, or similar BI tools.
- Understanding of end-to-end supply chain processes (demand, supply planning, production, inventory, logistics).
- Experience working with enterprise data environments, including ERP systems and cross-functional datasets.
Nice to have
- CSCP certification.
- 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 with supply chain planning systems (Kinaxis, SAP IBP, or similar).
- Experience with cloud data platforms (Azure, AWS, Snowflake).
Skills: supply chain, planning analytics, predictive models, optimization, data-driven decision-making
This role has been open 82 days — well above the 66-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Yield Engineering
|
Open roles in category
66
|
Median days open
66 d
|
Median salary
—
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | FormFactor | All employers we track in this specialty (66 roles · 26 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 66 |
| Open roles in the wider Process, Fab & Equipment family | 109 | 9897 · 109 employers |
| Median days open | 82 d | 66 d (+16 d vs this employer) |
| Median salary (USD postings) | — | — |
Skills observed across this category: supply chain, planning analytics, predictive models, optimization, data-driven decision-making
Who's hiring in this category
- Micron Technology · 27 open roles · median 52 d
- Entegris · 7 open roles · median 94 d
- Western Digital · 4 open roles · median 50 d
- Infineon Technologies · 3 open roles · median 101 d
- Lumentum · 2 open roles · median 191 d
- Skyworks · 2 open roles · median 24 d
How we counted: 66 open Manufacturing/Industrial Engineering (Yield Engineering) roles from 26 employers tracked in the SemiconductorJobs index, counted 18 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.