Hiring.Camp

Strategy & Business Analyst

Nexperia

·

2 days ago

Location
Seremban, Malaysia · Budapest
Department
Management
Source
Workday

Description

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

Talent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.

D&I Statement

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.

Skills

Data ScienceExcel

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