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Amazon

Corporate Human Resources Partner Working Student (12 Months) - 2027

Amazon is hiring a Corporate Human Resources Partner Working Student (12 Months) - 2027 in Berlin, Germany. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this HR role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as an internship.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past week.

AI in this role

See your impact in motion | Discover careers at our Data Centers

Amazon Web Services (AWS) Data Centers power the technology
people rely on every day, from streaming services and mobile apps to
cloud computing, generative AI, and online shopping. They’re the
foundation that enables hospitals, financial institutions, governments,
and businesses around the world to deliver the services people depend
on, when they need them.

In these roles, you’ll work on the real-world infrastructure that keeps
technology running securely, reliably, and at global scale. You’ll solve
problems, collaborate across teams, and use advanced tools to support
systems that millions of people interact with every day.

This is where your work connects to something bigger, moving beyond
theory into impact you can see, feel, and be part of, all while helping
build the future of Amazon Web Services.

Key job responsibilities
- Manage an end-to-end project with one of Amazon's HR teams in EMEA over a 12-week period

- Collaborate with senior management and business partners, as well as cross-functional HR support teams, to gain a 360-degree view of Amazon's approach to human resources

- Learn and contribute to Amazon's approach to hiring and developing top talent

- Support people operations and help preserve Amazon's peculiar culture in the way we attract, hire, and develop talented people

- Work cross-functionally across areas such as compensation, onboarding, training and development, talent acquisition, and international HR

- Identify opportunities for process improvement and implement creative solutions across HR teams worldwide

- Deliver a continuously improving employee experience by thinking broadly and working cross-functionally in a fast-paced environment

- Gain insight into managerial strategy and concepts, understanding everything that goes on behind the scenes to ensure teams have what they need to develop and retain a high-powered workforce

A day in the life
No two days are the same as a Working Student at Amazon. Depending on your team, you could be diving into your project work — whether that involves analyzing compensation data, supporting an onboarding improvement initiative, or collaborating with the talent acquisition team on hiring strategies. You will participate in cross-functional meetings with HR colleagues, including international HR teams, working through process improvements that impact teams worldwide. You will also have the opportunity to network with other interns and attend learning sessions with senior HR leaders who share insights on Amazon's peculiar culture and leadership principles.

Throughout, you will balance project-focused deep dives with broad exposure to HR operations, from training and development programs to employee experience initiatives. Every day brings hands-on experience in a dynamic, fast-paced environment where your contributions directly support Amazon's ability to attract, develop, and retain exceptional talent.

Note: You must have the right to work in the country of employment by the start date.

Basic qualifications

- Speak, write, and read fluently in German and English at C1 level or above
- Currently in your penultimate year and working towards a university bachelor’s or master’s in HR, HR Management, Organizational Development, Business Administration, Psychology, Social Sciences, Law or a related field (Humanities focused), or a similar discipline
- Eligible to complete a working student placement for up to 12 months

Preferred qualifications

- Strong problem-solving and analytical skills, with the ability to identify process improvements and innovative solutions.
- Excellent communication and teamwork skills, able to collaborate effectively with others.
- Demonstrated curiosity, proactivity, and willingness to take on challenges in an ambiguous, fast-paced environment.
- Effective interpersonal, written, and oral communication with a keen focus on delivering business results.
- Demonstrated track record in using data and metrics to make decisions and build scalable solutions.
- Ability to influence across all levels of an organization.
- Ability to act strategically and make decisions under ambiguity.
- Strong organizational and time management skills.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Corporate Human Resources Partner Working Student (12 Months) - 2027 at Amazon rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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