Duties and Responsibilities:
- Support integration of manufacturing systems including MES, ERP (SAP preferred), automation platforms, quality management systems, and BI tools to ensure seamless data flow across the organization.
- Assist in data integration activities including writing SQL queries, supporting ETL processes, and facilitating API connections between manufacturing and enterprise systems.
- Participate in automation system integration projects, including defining data collection points, interface specifications, and connectivity requirements for the equipment.
- Support data migration efforts and maintain data accuracy, validation, and governance across reporting and integration platforms.
- Assist in the development and maintenance of manufacturing dashboards and reports using Tableau, Qlik Sense/QlikView, or Power BI to support production performance tracking.
- Collaborate with operations, quality, and engineering teams to define KPIs, reporting requirements, and analytical needs that drive data-driven decision-making.
- Create and maintain automated reporting systems that provide actionable visibility into manufacturing performance metrics.
- Drive paperless initiatives and digital workflow improvements on the shop floor, reducing reliance on manual processes and paper-based documentation.
- Contribute to Industry 4.0 digitalization efforts that enhance connectivity between manufacturing systems and improve overall operational efficiency.
- Translate functional manufacturing needs into clear technical requirements for IT development teams and external vendors.
- Assist with User Acceptance Testing (UAT), validation, and commissioning of new digital systems and software interfaces.
- Maintain comprehensive documentation for system architectures, process flows, data integration specifications, and standard operating procedures (SOPs).
- Create and maintain project documentation, progress reports, and performance metrics to support digitalization initiatives.
- Partner with IT teams to develop and implement system enhancements and automation solutions that meet manufacturing operational needs.
- Train manufacturing personnel on BI tools, dashboards, and digital systems to ensure effective adoption across the organization.
- Interface directly with Cross function team to gather requirements, validate system improvements, and ensure successful implementation of new tools and processes.
- Perform other duties as assigned
Required:
- BI Tools: Qlik Sense/QlikView, Power BI or Tableau
- Programming/Scripting: SQL (required), Python (required)
- Databases: SQL Server, Oracle, MySQL, or PostgreSQL
- Proficiency in lean manufacturing principles, Six Sigma methodologies, and continuous improvement tools with focus on system optimization
- Strong knowledge of manufacturing systems including MES, ERP, SCADA, and data visualization platforms for digitalization initiatives
- Effective communication and presentation skills for all organizational levels, particularly for business case presentations
- Knowledge of Industry 4.0 technologies (IoT, digital twin, predictive analytics)
- Familiarity with automation technologies and Industry 4.0 solutions for manufacturing environments
- Experience with B2B integration platforms (EDI, API-based supplier portals)
- Leadership capabilities to facilitate cross-functional collaboration with IT, Quality, and Process Engineering teams
- Understanding of traceability requirements in electronics manufacturing (serialization, genealogy)
Education and Experience:
Required:
- Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field
- 1-2 years of experience in manufacturing systems, data analytics, or system integration.
- 3-5 years of experience with focus on system integration, software Engineering support for automation projects
- Prefer Master's degree in Engineering, Business Administration, or Information Systems
Foxconn Assembly, LLC is an Equal Opportunity Employer (EOE). All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws.
Foxconn Assembly, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Skills Required
- Bachelor's degree in Engineering, Computer Science, Information Systems, or related field
- 1-2 years of experience in manufacturing systems, data analytics, or system integration
- SQL (required)
- Python (required)
Hon Hai Technology Group (Foxconn) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hon Hai Technology Group (Foxconn) and has not been reviewed or approved by Hon Hai Technology Group (Foxconn).
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Healthcare Strength — Health coverage in the U.S. includes medical, dental, and vision, supported by EAP services and on‑campus or site health resources in some regions. These offerings align with large‑employer standards and are publicly emphasized across multiple locations.
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Retirement Support — Retirement provisions include a U.S. 401(k) plan and a formal pension framework in Taiwan that follows local law. This provides structured long‑term savings mechanisms across major geographies.
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Parental & Family Support — Family‑oriented benefits include childbirth allowances and transportation subsidies during pregnancy, with additional welfare programs and childcare supports referenced in corporate materials. These supports broaden the non‑salary value proposition in several regions.
Hon Hai Technology Group (Foxconn) Insights
What We Do
Hon Hai Technology Group (Foxconn) is the world's largest electronics manufacturer and a leading technological solution provider, established in Taiwan in 1974. It leverages expertise in software and hardware to integrate manufacturing systems with emerging technologies, expanding into electric vehicles, digital health, and robotics, with a focus on AI, semiconductors, and next-generation communications.








