Nexperia is a world-class company in semiconductor development and in-house production. A proven global player with an entrepreneurial mentality. At our core is an 13,000+ strong international network with a singular focus. Built on passion and commitment to our work, belief in our goals and a drive to succeed regardless of the challenges we face. We support, reward and challenge individuals equally, in a dynamic and energetic environment.
About The Role
The Strategy & Business Analytics Manager supports Technology & Operations (T&O) Strategy by providing fact-based insights on the external semiconductor landscape and by developing, maintaining, and governing strategic and operational data models and analytics tools used across T&O. The role acts as a central analytical backbone for strategic decision-making, linking external market intelligence with internal performance, footprint, and investment data.
The position is part of the T&O Strategy Office and reports to the Head of T&O Strategy. The role works closely with manufacturing sites in Hamburg, Manchester, Seremban, and Cabuyao, as well as with Quality, SCM, Purchasing, External Manufacturing, Finance, and Corporate Strategy.
This is your new job
Analyze external market reports, industry publications, and competitor disclosures. Identify trends and implications for Nexperia’s semiconductor manufacturing footprint and long-term operations strategy. Translate insights into structured briefs, dashboards, and decision materials
Develop, maintain, and professionalize strategic data models including Long-Term Planning (LTP), cost down program analytics, and the KPI Library. Ensure consistency, transparency, documentation, and scalability of all strategic models
Build analytics tools and scenario models to support footprint, capacity, and investment decisions. Prepare analyses for review boards, decision boards, and strategic management discussions
Contribute to KPI definitions, data standards, and governance frameworks across T&O. Align strategic models with operational and financial data sources in collaboration with key stakeholders
Work closely with T&O sub-organizations to understand requirements and validate assumptions. Act as a translation layer between strategy, operations, finance, and data
This is you
Bachelor’s degree in Engineering, Economics, Operations Research, Data Science, or a related field.
3+ years of relevant professional experience, ideally in strategy consulting, management consulting, financial analytics, corporate strategy, or industrial analytics.
Proven experience in building and maintaining complex analytical models and decision-support tools.
Experience in the semiconductor, high-tech, manufacturing, or industrial environment is a strong advantage.
Exposure to long-term planning, investment analysis, KPI systems, or performance management frameworks is preferred.
Strong analytical and structured problem-solving skills.
Advanced data modeling and analytics capabilities (e.g., Excel-based models, BI tools)
Ability to translate complex data into clear management-level insights
High level of independence, accuracy, and quality orientation
Fact-based and detail-oriented
Comfortable working with ambiguity and incomplete information
Constructively challenges assumptions
Strong communication and stakeholder management skills
As an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.
In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.
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