Data & Business Intelligence Analyst

Michael Kors (Capri); Venlo; On-site; EUR 55,000 - 75,000; Full time

Job summary

Michael Kors (Capri) is seeking a Data & Business Intelligence Analyst to turn data into insights for our distribution centre. You will connect data from operations and translate it into actions that guide tomorrow's decisions.

You’ll join the Engineering & Continuous Improvement team, developing analytical solutions and dashboards beyond standard reports. Proactivity in leveraging AI and driving efficiency is expected.

Qualifications

• Bachelor's degree level or equivalent professional capability.
• Experience in data analysis, BI, or performance analytics.
• Experience in a Distribution Centre or logistics is a plus.
• Proficient with Power BI, Tableau, SQL, and Excel; AI-assisted analysis preferred.

Responsibilities

• Analyse historical, current and forecast data to identify trends and opportunities.
• Connect data from diverse sources into clear, actionable insights.
• Develop dashboards and reporting to support decision-making.
• Collaborate with Engineering and Continuous Improvement on baselines and business cases.
• Ensure data quality, KPI definitions, and analytical conclusions.
• Explore AI and digital tools to strengthen analysis and automate reporting.

Skills

Analytical thinking

Business acumen

Storytelling with data

Critical thinking

Independent collaboration

Education

Bachelor's degree

Tools

Power BI

Tableau

SQL

Excel

Microsoft Copilot

Job description

Michael Kors is always interested in hearing from talented, globally-minded individuals with a passion for fashion.

If you enjoy working in a creative, fast-paced environment, then we would love to hear from you!

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, including dependencies between processes and their impact on overall DC performance.
• 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 establish baselines, quantify improvement opportunities and support business cases. Validate realised benefits against expected results after implementation.
• Ensure the quality, consistency and reliability of data, validating sources, KPI definitions and analytical conclusions.
• Explore, test and apply AI and digital tools, including Microsoft Copilot, to strengthen analysis, simplify reporting and reduce repetitive manual work. Turn successful use cases into practical solutions.
• Proactively identify opportunities to improve productivity, capacity utilisation, flexibility and cost efficiency, and communicate the findings clearly to relevant stakeholders.

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 relevant tools for data analysis, querying and visualisation, such as Power BI, Tableau, SQL, Excel or comparable tools.
• Practical experience with AI-supported analysis or reporting, using Microsoft Copilot or comparable tools, is preferred. A willingness to explore and test new applications is expected.
• 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, explain the business impact and provide practical recommendations.
• 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.

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,