Job Title: Data Analyst
Location(s): Lisbon, Portugal
Application Deadline: (if applicable)
About Springer Nature
Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and follow @SpringerNature.
At Springer Nature, we recognise that great talent develops through many different paths. We encourage applications from individuals with strong transferable skills, provided they are supported by relevant experience that shows how those skills have been successfully applied in practice. Our hiring approach balances skills, experience, and potential to ensure each role is fulfilled with both short term effectiveness and long term growth in mind.
About the Role
As a data analyst in the Content Acquisition Product Group, you will connect with Technology, Business and User Research functions, using your skills in data analysis and quantitative research to deliver value across the organization. You will support the development of digital products through their lifecycle – from planning and analysis to delivery and operations – while considering customer, business and wider scientific landscape perspectives.
Role Responsibilities
- Understanding the global scientific landscape, our publishing business and its content acquisition processes through data.
- Applying business knowledge, quantitative methods and proficient storytelling to help teams keep data at the core of their thinking and decision-making.
- Designing and deploying key metrics to measure different aspects of the business.
- Creating and maintaining analytics products for easier data querying and self-service.
- Creating and maintaining dashboards to track metrics and visualize insights.
- Partnering with cross-functional teams for deep dive research projects to uncover trends, opportunities and threats at longer timescales.
- Help drive the shift to a data mindset as part of our culture – promoting data literacy across the company, while advocating and educating teams to keep data front and center.
Experience, Skills & Qualifications:
Essential
- Significant experience as a Data Analyst or in similar quantitative roles, creating impactful data solutions for solving product/business problems.
- Additionally, a university degree in a quantitative area (e.g., Mathematics, Statistics, Data Science, Engineering or related STEM fields) is also required.
- Strong analysis, design, implementation and ownership skills.
- Excellent data preparation and manipulation skills - Advanced proficiency in SQL and advanced analysis experience in Python.
- Experience in data visualisation concepts and tools (BI – e.g. Looker and Python-based – e.g. Plotly).
- Experience using cloud-based data warehouses (e.g. GCP BigQuery or similar).
- Experience in analytics engineering – creating, owning and maintaining ETL processes, setting up analytics pipelines, data modelling and data testing capabilities (e.g. dbt, Dataform).
Desirable
- Solid statistical knowledge (e.g. descriptive statistics, inferential statistics, sampling methods etc.). Understanding of machine learning techniques is a plus, but not mandatory.
- Amazing data storyteller – Turns raw data into meaningful stories that effectively engage technical and non-technical audiences.
- Intellectually curious, motivated, detail-oriented and quality-focused: constantly looking for better questions, hypothesis, explanations.
- Strong collaboration, communication, and interpersonal skills.
At Springer Nature, our mission is to be part of progress – and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodations.
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Skills Required
- University degree in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, or a related STEM field.
- Previous experience as a Data Analyst or in a similar quantitative role.
- Strong analysis design, implementation, and ownership skills.
- Advanced proficiency in SQL.
- Advanced analysis experience in Python.
- Experience with data visualization concepts and tools such as Looker and Plotly.
- Experience using cloud-based data warehouses such as GCP BigQuery or similar.
- Experience in analytics engineering, including ETL processes, analytics pipelines, data modeling, and data testing using tools such as dbt or Dataform.
- Statistical knowledge, including descriptive statistics, inferential statistics, and sampling methods.
- Understanding of machine learning techniques.
- Strong data storytelling ability.
- Intellectual curiosity, motivation, attention to detail, and quality focus.
- Strong collaboration, communication, and interpersonal skills.
- Good command of English.
What We Do
Research and learning are the cornerstones of progress, which is why we open doors to discovery for our communities, enabling millions of researchers, clinicians, educators and other professionals to access, trust and make sense of the latest insights. Springer Nature is an ambitious and dynamic organisation. For over 180 years our imprints, books, journals, platforms, and technology solutions have been a trusted source of knowledge to our communities. Today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used, ensuring that the world continues to make progress, improving and enriching lives and helping to protect our planet for future generations. Global key facts: Established for over 180 years Nearly 10,000 colleagues 200 offices in 45 countries on all continents World’s largest academic book publisher Publisher of Nature, the world’s most influential journal First company to publish more than 1 million Open Access articles Key brands and imprints: Springer Nature is home to some of the best-known names in research, health, educational and professional publishing. Every day, around the globe, our brands reach millions of people. Nature Springer BMC Palgrave Macmillan Apress Macmillan Education Scientific American Springer Healthcare Springer Medizin Research Square J.B. Metzler BSL Adis
