Data & Business Intelligence Analyst

Michael Kors; Venlo; On-site; EUR 55,000 - 85,000; Full time

Job summary

Michael Kors in the Netherlands is seeking a Data & Business Intelligence Analyst to extract value from data across our Distribution Centre, translating numbers into tomorrow’s actions. You will look beyond reports to uncover the insights that drive improvements.

You will join the Engineering & Continuous Improvement team to build analytical solutions, validate data quality, and apply AI-enabled tools to boost performance and decision-making.

Qualifications

• Bachelor-level degree or equivalent in analytics or related field.
• Experience in data analysis, BI or performance analytics.
• Experience in distribution centre/logistics environment is a plus.
• Proficiency with Power BI, Tableau, SQL and Excel.
• Interest in AI-powered analysis (e.g., Microsoft Copilot).
• Fluent in Dutch and English.

Responsibilities

• Analyse historical and forecast data to identify trends and risks in the DC.
• Link data from various sources to produce actionable insights.
• Develop dashboards and reporting to support data-driven decisions.
• Collaborate with Engineering and CI to quantify improvement opportunities.
• Ensure data quality and KPI definitions are aligned.
• Explore AI tools to enhance analysis and automation.
• Communicate insights clearly across the organisation.

Skills

Analytical thinking

Critical thinking

Data storytelling

Business acumen

Forecasting

Education

Bachelor's degree

Tools

Power BI

Tableau

SQL

Excel

Job description

Reports to: Senior Manager Facilities, Engineering and Continuous Improvement

POSITION PURPOSE

Data can tell us much more than what happened yesterday. The real value comes from understanding what it means for tomorrow.

As Data & Business Intelligence Analyst, you help us get more value from the information available across our DC. You connect data with what is happening in the operation and turn it into insights that help us make better decisions.

This is a role for someone who wants to look beyond reports and dashboards. Someone who is curious about the story behind the numbers and wants to use data to make a real difference in how our DC develops.

You will become part of our Engineering & Continuous Improvement team, where insight is the starting point for improvement and future development.

KEY RESPONSIBILITIES

• Analyse historical, current and forecast data to identify trends, performance drivers, risks and opportunities across the Distribution Centre.
• Connect data from different operational and business sources, translating complex information into clear and actionable insights.
• Develop and improve analytical solutions, dashboards and reporting that support fact-based decision-making.
• Partner with Engineering and Continuous Improvement to identify, quantify and validate improvement and development opportunities, including baselines and business cases.
• Ensure the quality, consistency and reliability of data, validating sources, KPI definitions and analytical conclusions.
• Explore and apply AI and digital tools, including Microsoft Copilot, to enhance analysis, reporting, automation and ways of working.
• Proactively identify opportunities to improve performance and communicate insights clearly across different levels of the organisation.

KNOWLEDGE & EXPERIENCE

• Bachelor’s degree level or equivalent professional capability, ideally within Data Analytics, Business Analytics, Logistics, Business Administration, Engineering or a comparable field.
• Relevant experience within data analysis, business intelligence or performance analytics in an operational or business environment.
• Experience within a Distribution Centre, logistics or similar operational environment is a strong advantage.
• Knowledge of analytical and visualisation tools such as Power BI, Tableau, SQL and Excel.
• Experience with, or a strong interest in, AI-supported analysis, including Microsoft Copilot or comparable solutions.
• Experience using data and analytical insights to support improvement, engineering or business initiatives is an advantage.
• Dutch and English, spoken and written.

SKILLS & COMPETENCIES

• Strong analytical and critical-thinking skills, with the ability to recognise patterns, dependencies and underlying performance drivers.
• Curious and investigative, with a natural desire to understand the story behind the data.
• Strong business understanding, connecting data with operational context and business impact.
• Able to translate complex analysis into clear conclusions and actionable insights.
• Proactive and comfortable constructively challenging assumptions using facts and evidence.
• Accurate, quality-focused and able to work independently while collaborating effectively across functions.
• Forward-thinking, with the ability to use historical performance, current results and forecasts to anticipate emerging risks and opportunities.

To know more about working at Michael Kors follow us on LinkedIn and visit our Kors Careers Page

The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories.

At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at [e-mail].

In compliance with certain Pay Transparency laws, employers are required to disclose a compensation range. The range for this position will vary based on role requirements, skill set, and years of experience. Please note that for salaried roles, the figures reflect full-time equivalency, while for hourly roles, the figures represent the applicable hourly rate.