Working Student Sustainability Data & Digitalization

Harman International
Garching b. München, Germany
27 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Garching b. München, Germany

Tech stack

Artificial Intelligence
Business Systems
Data Integration
Salesforce
SAP Applications
Enterprise Software Applications
Data Analytics
Operational Systems

Job description

As a Working Student in Sustainability Data & Digitalization, you will support the development of data-driven sustainability initiatives with a strong focus on environmental data, decarbonization, and digital transformation. You will work closely with cross-functional teams such as Sustainability, IT, and Engineering to enhance data processes, improve analytics capabilities, and help integrate sustainability into core business systems and decision-making., * Support the development of business intelligence capabilities within the sustainability domain

  • Assist in digitalizing key environmental data processes and workflows
  • Improve and automate data collection and analysis in sustainability-related areas, such as carbon footprint and product carbon footprints (PCFs), using AI tools and models
  • Collaborate with IT and cross-functional teams to map existing workflows, identify gaps, and implement digital solutions for decarbonization initiatives
  • Support the integration of enterprise systems (e.g., Salesforce, SAP) with sustainability platforms
  • Contribute to data integration efforts, linking operational systems with sustainability metrics
  • Help embed environmental data into business planning and product development processes, HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com) HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at harmancareers@harman.com. Requests will be considered on a case-by-case basis in accordance with applicable law.

Requirements

Do you have experience in R?, * Strong analytical mindset with attention to detail

  • Interest in sustainability, decarbonization, and environmental data analytics
  • Basic understanding or strong interest in data analytics, digital tools, and AI applications
  • Good communication and stakeholder management skills
  • Fluent in English (written and spoken)
  • Proactive, structured, and eager to learn in a cross-functional environment

What We Offer

  • Hands-on experience in sustainability transformation and digital innovation
  • Exposure to cutting-edge topics such as AI-driven sustainability analytics and carbon footprint modeling
  • Opportunity to work in an international, cross-functional environment
  • Build expertise in sustainability data, digitalization, and enterprise system integration

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