INTERNSHIP DETAILS

Intern Data Analyst

CompanySignify Netherlands B.V.
LocationEindhoven
Work ModeOn Site
PostedMay 27, 2026
Internship Information
Core Responsibilities
The intern will automate data collection and reporting workflows to reduce manual workload and human error. This includes setting up data pipelines, structuring data using SQL and Python, and creating visualizations.
Internship Type
full time
Company Size
12032
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Signify (Euronext: LIGHT) is the world leader in lighting for professionals and consumers. We proudly bring to market the world’s best lighting brands, from Signify, Philips, Philips Hue, Signify Interact, Philips Dynalite, Color Kinetics and many more. Our advanced products, connected systems and services unlock the extraordinary potential of light for brighter lives and a better world. In 2025, we had sales of EUR 5.8 billion, approximately 27,000 employees, and a presence in over 70 markets. We are in the Dow Jones Sustainability World Index and hold the EcoVadis Platinum rating.
About the Role

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. 

More about the role

We’re looking for a Data Analyst intern to join our BU Agri - Supply Chain team in Eindhoven.

To effectively monitor and enhance the supply chain, the team requires support in transitioning towards digitalized and automated workflows. At present, reporting activities rely on manually downloading data from multiple sources and combining these datasets, resulting in a significant workload for the team. This process is not only time-consuming but also heavily person-dependent and prone to human error.

The Data Analyst will play a key role in addressing these challenges by collecting semi-structured data from various sources, performing data extraction and cleaning, and enabling efficient analysis and reporting. Furthermore, the Data Analyst will be responsible for ensuring that the developed workflow is fully automated, creating a sustainable and future-proof digital reporting process.

What you’ll do

  • Set up data pipeline .

  • Support report automation projects using excel script and Power Automate.

  • Structure data using SQL/Phyton and automate data collection

  • Define workflow to handle manual input

  • Support in report visualization projects.

Your qualifications

  • Are a bachelor/master student in Computer Science, Computer engineering, AI, Data Analytics, IT, or any other related degree.

  • Are proficient in SQL and python.

  • Knowledge on Power BI and Snowflake is a plus.

  • You enjoy learning different data related techs.

  • You communicate well in English (verbal and written).

  • You are a team player but also can work independently and proactively.

What you’ll get in return

  • Opportunity to work in an embedded software Scrum team developing smart wireless IoT systems

  • Hands-on experience with IoT gateways, wireless protocols, and system performance engineering

  • Mentorship from experienced engineers in embedded systems and networking

  • Exposure to real-world large-scale IoT deployments

  • Experience working in an Agile development environment

  • Internship allowance; the exact amount depends on your situation (also towards rented accommodation or public transportation). 

  • Paid leave on the basis of 1 day per month.

  • Extensive set of tools to drive your career, such as a personalized learning platform. 

We offer strong opportunities for career development through mentoring, coaching, and international exposure. Continuous learning is at the heart of our culture, enabling you to expand your knowledge and skills every day.

Notes 

  • EU students: To be considered for this internship, you need to be registered as a student during the entire internship period. Formal documentation of this may be requested at any time. 

  • Non-EU students in Dutch Universities: You need to be registered as a student, and your university needs to sign the Nuffic Agreement. The internship needs to be a compulsory part of your studies (receive ECTS in turn). In case of non-compulsory internship, you need to have a letter from the university in which it states that your internship contributes to your personal development, what your learning goals are, and what tasks you will undertake during your internship. The letter has to be signed and stamped by your university. 

Please apply only if you can meet the aforementioned requirements.

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together. 

Come join us, and together we can light up the future.

 

Key Skills
SqlPythonPower BiSnowflakePower AutomateExcel ScriptData PipelineData ExtractionData CleaningReport Visualization
Categories
Data & AnalyticsTechnologyEngineeringLogisticsAgriculture
Benefits
Internship AllowancePaid LeavePersonalized Learning PlatformMentoringCoachingInternational Exposure