Quick Summary
Role We are looking for a Data Analyst to transform data into actionable insights that support business and operational decision-making.
We are looking for a Data Analyst to transform data into actionable insights that support business and operational decision-making. You will collaborate with cross-functional teams to monitor performance, identify trends, and drive continuous improvement through data analytics.
Responsibilities
~1 min read- →Collect, analyze, and interpret data from various business and manufacturing systems.
- →Develop and maintain dashboards, reports, and KPIs using Power BI or similar tools.
- →Identify trends, issues, and improvement opportunities through data analysis.
- →Support stakeholders with data-driven recommendations and insights.
- →Ensure data accuracy, consistency, and reporting reliability.
- →Contribute to digitalization and process improvement initiatives.
- Bachelor's Degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field.
- Experience in data analysis, business intelligence, or a similar role.
- Proficiency in SQL, Power BI/Tableau, and Microsoft Excel.
- Knowledge of Python or R is an added advantage.
- Strong analytical, problem-solving, and communication skills.
- Experience in manufacturing or semiconductor industry is preferred.
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.
Location & Eligibility
Listing Details
- First seen
- October 3, 2026
- Last seen
- October 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- October 3, 2026
Signal breakdown
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