Data Analyst Intern, Springer Nature Opening Doors Program

Job Title: Data Analyst Intern, Springer Nature Opening Doors Programme 

Location(s): Berlin
Application Deadline: 14th of March 2025

About Springer Nature Group

Are you looking for an internship that provides hands-on experience in research publishing and the chance to make connections at one of the largest publishers of education and research content?

The Springer Nature Opening Doors internship in the Marketing Data Analytics and Technology Department is a paid opportunity in Germany to gain experience in the industry of research and science news publishing. 

Many groups and perspectives are currently underrepresented in the publishing industry, which is a challenge that we are actively trying to address at Springer Nature. We are seeking candidates who believe they can contribute to diversity, equity and inclusion in our organisation, in our content, or both. We welcome applicants from all backgrounds, and we particularly encourage candidates from historically underrepresented groups to apply, including but not limited to Black people, Indigenous people and people of colour, people from socio-economically disadvantaged backgrounds, LGBTQ+ people, people from underrepresented social castes, religious minorities and people with a disability and/or a neurodivergent condition.

The successful applicant will spend up to six months within Marketing Data, Analytics, and Technology, part of the Research Publishing division of Springer Nature. If selected for this internship, you will be developing skills in:

• Data Collection and Processing: Developing ideas, and assisting in the collection, organisation and processing of data to ensure it is ready for analysis.
   

• Data Pipeline Development: Helping to design, develop and maintain data pipelines and managing data streams.
   

• Database Management: Supporting the maintenance of databases, ensuring data accuracy and integrity, and optimising performance.
   

• Data Quality Assurance: Ensuring the accuracy and quality of data through rigorous quality control processes.
   

• Collaboration and Stakeholder Management: Working closely with senior team members and other technical teams.
   

• Continuous Learning: Continuously honing skills and keeping pace with the evolving field of data analytics.
   

• Reporting and Analysis: Producing regular and ad-hoc reports, analysing data, and creating presentations.
   

• Learning New Tools: Using tools like Colab, Google Big Query and Python for data analysis, pipelining and reporting.
   

What’s in it for you?

You will be developing both technical and non-technical skills while working in the Data Analytics and Technology team. This diverse, global team has offices in eight different locations across three continents. You will be immersed in the most up-to-date technology and analytics techniques to deliver value in marketing.

• Hands-on experience at one of the largest academic publishing groups and the opportunity to learn from experienced tech, analytics, and publishing professionals.
   

• Support from a buddy from one of Springer Nature’s employee networks that connect people who share a common identity.
   

• Access to career development, training and events, including an overview of different business areas at Springer Nature and advice on the job application process.
   

• The opportunity to work on projects related to diversity, equity, and inclusion in the publishing industry.

About us:

The Marketing Data, Analytics, and Technology (DAT) team builds tools that help Springer Nature engage with their audiences in a meaningful and personalised way. Our mission is to attract and engage researchers and B2B customers, driving impact and growth for Springer Nature and the research community. By leveraging innovative technology, automation, rich customer data, and actionable insights, we create tailored customer experiences, optimise marketing ROI, and foster bold, creative ideas.

About you:

• Currently pursuing a bachelor's degree in Data Science, Data Analytics, Computer Science, Engineering, or a related/adjacent fields.
   

• Available to start in June 2025 for an internship of up to six months.
   

• Strong interest in solving challenges in our data landscape.
   

• Fluent in English and have an existing right to live and work in Germany.
   

• Familiarity with SQL and Python.
   

• Understanding of fundamental statistical concepts and data analysis techniques.
   

• Strong problem-solving skills and the ability to interpret data to derive actionable insights.
   

• Ability to effectively communicate findings through written reports and presentations.
   

• Attention to Detail - careful approach to data cleaning and ensuring data accuracy.
   

• Willingness to Learn - eagerness to learn new tools and technologies, and adapt to new challenges.
   

• Ability to work well in a team environment and collaborate with senior engineers and other team members.

How to apply: Application deadline March 14th, 2025

Please send a resume and a short supporting statement in a cover letter (no more than 500 words) that explains what you will bring to this role and how you feel you could contribute to diversity, equity and inclusion in our organization, our content, or both.

The internship will start in June for a duration of maximum 6 months and is based in Springer Nature’s Berlin Office on a hybrid working model with up to three days a week working from home.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process due to disability, neurodivergence or a chronic condition, please direct your inquiries to Laura Gonzalez Gascon (laura.gonzalez@springernature.com) - CoE Talent Attraction.

If you're looking to kick-start your career in Research publishing, apply today and you could be part of the next generation shaping our industry.

There are additional intern positions available across Springer Nature as part of this programme - find out more about other available opportunities.

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