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Open nowPosted yesterday

Data & Analytics Intern

Amgen1,940 open roles

Where
Netherlands - Breda
Work mode
Hybrid
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Your applicationOpen nowData & Analytics InternAmgen · Netherlands - Breda

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Amgen's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Amgen postings stay open a median of 40 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

Amgen median: 40 days open

The posting

Career Category

Business Development

Job Description

Turn data into business value at one of Europe's leading biotechnology hubs

Are you a student passionate about data, analytics, AI, and technology? Do you want to gain hands-on experience working on real business challenges while developing solutions that drive decision-making across an international organization?

Join our team as a Data & Analytics Product Team Intern and become part of the ABR Data & Analytics Product Team. Working closely with colleagues across Operations, Engineering, Supply Chain, and other site functions, you will help transform data into practical solutions that improve business performance and support better decision-making.

This internship offers the opportunity to work on real projects at the intersection of data engineering, analytics, and AI while gaining experience with modern technologies and platforms used in a global business environment.

What will you do?

Depending on your interests and background, you will contribute to projects such as:

  • Building and improving data foundations, datasets, and data pipelines.
  • Developing analytics solutions and dashboards that support business decision-making.
  • Exploring AI and conversational analytics solutions, including "talk to your data" capabilities.
  • Creating interactive data applications using modern development and AI-assisted tools.
  • Partnering with business stakeholders to understand requirements and translate them into practical solutions.
  • Testing, documenting, and validating solutions to ensure business value and usability.

Who are we looking for?

You are currently pursuing a degree in Data Science, Computer Science, Information Technology, Engineering, or a related field, and are available for a 6-month internship.

You also:

  • Have an interest in data, technology, analytics, and solving business problems.
  • Have experience with one or more tools such as Python, SQL, or Power BI through coursework, projects, or personal experience.
  • Enjoy analysing data and developing practical solutions.
  • Are curious about emerging technologies, including AI.
  • Communicate effectively in English and can explain ideas clearly to both technical and non-technical audiences.
  • Take ownership of your work while collaborating effectively within a team.
  • Pay attention to quality, testing, and documentation.
  • Experience with Databricks, machine learning, or AI-assisted development tools is a plus, but not required.

What will you gain?

During this internship, you will gain practical experience working with modern data and analytics technologies within an international biotechnology company.

You will also:

  • Work with technologies such as Databricks, Python, SQL, Power BI, and AI-assisted development tools.
  • Own a project that addresses a real business need and delivers measurable value.
  • Receive guidance and coaching from experienced data and analytics professionals.
  • Collaborate directly with business stakeholders across different functions.
  • Strengthen your technical, analytical, problem-solving, and communication skills.
  • Deliver a tangible solution that can have a lasting impact on the organization.

Interested?

Send us your CV and motivation letter. Please include your study program, preferred internship period, and availability.

Ready to transform data into impactful business solutions? We look forward to meeting you.

.

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