Data Analyst

Role Overview

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.

What You Will Do

Partner with local marketing stakeholders to adapt and extend the marketing KPI and metrics framework, manage and analyse large and complex datasets, and communicate analytical findings and recommendations.

Why It Might Be a Fit

The role requires strong analytical thinking, problem-solving skills, and intellectual curiosity, as well as the ability to communicate statistical concepts and analytical findings clearly to non-technical stakeholders.

Requirements

• 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, and regression techniques.
• Experience working with large and complex datasets from multiple sources.
• Experience with cloud-based data platforms such as BigQuery.
• 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.

Tagged as: Data Analysis