Data Analyst

Location: Shanghai
Employment: Full time
Application Deadline: 19th November 2026

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 and @SpringerNature.

About the Role

The Data Analyst acts as a trusted analytical partner to Springer Nature's China Marketing team, combining analytics, consultancy, and stakeholder collaboration to drive better business outcomes.

Working closely with local marketing stakeholders and global analytics and technology colleagues, the analyst helps shape measurement approaches, frame business questions, identify opportunities, and deliver actionable insights. The role combines hands-on analytical work with consulting and advisory responsibilities, enabling stakeholders to make evidence-based decisions and maximise marketing impact.

Key Responsibilities

• Partner with local marketing stakeholders to adapt and extend the marketing KPI and metrics framework, ensuring it stays aligned with local and global business goals, draws on market intelligence about the local competitive and digital landscape, and supports local business needs.
• Partner with local marketing stakeholders as well as the wider Marketing Optimisation & Impact team to shape measurement approaches, answer business questions, and improve the quality of decisions through data-driven insight, applying working knowledge of marketing, audience, and publishing data domains.
• Manage and analyse large and complex datasets from multiple sources using SQL and Python or R on cloud-based data platforms to identify opportunities, evaluate performance, and generate business insights that can be acted on.
• Apply statistical methods, modelling techniques, and strong quantitative skills to support marketing optimisation and impact measurement.
• Support experimental design and advise on the interpretation of test results and experimentation best practices.
• Develop dashboards, reports, and other analytics products, using modern analytics tools and technologies, that enable effective, well-informed decision-making.
• Communicate analytical findings and recommendations through compelling data storytelling that works for both technical and non-technical audiences.
• Ensure data quality, analytical rigour, and reproducibility across all work, while handling data securely and in line with data privacy and governance standards.
• Take ownership of analytical projects from problem definition through to stakeholder adoption.

Essential Skills & Experience

• Strong SQL skills, including complex querying, data transformation, and data validation.
• Proficiency in Python or R for data analysis and statistical modelling.
• Strong understanding of applied statistics, including:
  • Hypothesis testing and statistical inference
  • Experimental design and A/B testing
  • Regression techniques and other predictive modelling approaches
  • Common analytical biases and concepts such as regression to the mean
• Experience working with large and complex datasets from multiple sources.
• Experience with cloud-based data platforms such as BigQuery.
• Experience building dashboards and data applications using Looker, Data Studio, Hex, or similar.
• Ability to frame ambiguous business questions and translate them into structured analytical approaches.
• Strong analytical thinking, problem-solving skills, and intellectual curiosity.
• Ability to communicate statistical concepts and analytical findings clearly to non-technical stakeholders.
• Good understanding of the Chinese digital ecosystem, including key marketing platforms, audience behaviours, and emerging trends.
• Strong relationship-building and stakeholder management skills.
• Strong written and verbal communication skills in English and Mandarin.

Preferred

• Familiarity with dbt and modern analytics engineering practices.
• Understanding of the Chinese academic and research landscape, including research institutions, research output, scholarly publishing, and emerging trends affecting researchers and authors.

Qualifications

We welcome candidates from a wide range of educational and professional backgrounds. Demonstrated analytical capability, statistical understanding, and evidence of delivering high-quality analytical work are more important than a specific degree or qualification.

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 accommodation. Find out more about our DEI work here.

For more information about career opportunities in Springer Nature please visit.

Job Posting End Date: recruiter contact