Digital Product Analyst

Job Title: Digital Data Analyst

Location: Shanghai

Application Deadline: 27th November 2026

About Springer Nature

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About the Role

We are seeking a highly analytical and data-driven Digital Product Analyst to support product growth, customer intelligence and digital experience optimisation across our web platforms and customer-facing products.

This is primarily a data analysis and insight-generation role with necessary data engineering experience. The successful candidate will turn complex product, customer and behavioural data into clear findings, practical recommendations and compelling narratives that influence product and business decisions. Experience with data preparation, automation and ETL-like workflows is valuable, but it is an advantage rather than the central purpose of the role.

The role combines hands-on analysis with strong stakeholder engagement. The Product Analyst will be expected to present insights, explain analytical implications and recommendations with confidence, and adapt communication for both technical and non-technical audiences. The role works closely with Product Management, Marketing, CRM, Technology and Data teams across regions and time zones.

Responsibilities:

• Analyse user behaviour across websites, digital products and customer journeys to find opportunities for growth, better experience and product optimisation, using strong data analytics and quantitative skills to turn large, complex datasets into clear and reliable conclusions.
• Turn product usage, engagement, conversion, retention and customer behaviour data into practical insights, using market intelligence and a strategic mindset to link customer and market signals to longer-term product and commercial priorities.
• Build and maintain dashboards, reports and analytical frameworks that support product and business decisions, using analytics platforms and modern data tools in a practical, tech-savvy way.
• Work with Product Managers and stakeholders to define meaningful KPIs, measurement plans and success criteria, using sound decision quality to prioritise metrics and make sense of unclear or incomplete data.
• Turn complex analysis into clear stories, presentations and recommendations for leadership and cross-functional stakeholders, communicating effectively with both technical and non-technical audiences at all levels.
• Use customer and behavioural data to define audience segments and identify high-value user groups, drawing on market research and customer intelligence to improve targeting, positioning and engagement.
• Support customer lifecycle analysis, personalisation and audience activation work, improving marketing performance and campaign automation through data-driven segmentation and journey optimisation.
• Design, evaluate and interpret A/B tests and other experiments, using sound decision quality and statistical judgement to tell real effects apart from noise and recommend the most valuable next steps.
• Assess how well dynamic content, personalisation, customer communications and product changes work, and give evidence-based recommendations based on statistical analysis, experiment results and commercial context.
• Prepare, combine and transform data from multiple sources to enable reliable analysis and reporting, and automate repeatable analytical tasks to improve data quality, accessibility and reporting efficiency.
• Analyse organic traffic, search visibility and SEO metrics, and evaluate acquisition funnels and user journeys from discovery through engagement and conversion, working with Marketing and Product teams to improve marketing performance and find growth opportunities.
• Work with Data Engineering and Technology teams on data availability, integration and scalable analytical solutions, bringing practical experience with ETL-like workflows and AI-assisted analytics, while keeping the main focus on analytics, insight generation and decision support.
• Monitor market, competitor and customer trends through ongoing market research, and turn the resulting market intelligence into practical product, content and marketing opportunities.
• Adapt quickly to changing business priorities, data environments and product portfolios, and stay open to learning new tools, markets and stakeholder needs.

Experience, skills and qualifications

Essential

• Bachelor's degree or above in Data Analytics, Statistics, Computer Science, Information Systems, Business Analytics, Marketing or a related field, plus typically three or more years of experience in Digital Analytics, Product Analytics, Growth Analytics or a similar analytical role.

• Proven experience turning analysis into prioritised recommendations that inform product or business decisions, backed by strong decision quality and a strategic mindset.

• Hands-on experience with customer and product analytics platforms, covering website analytics, behavioural analysis, customer segmentation and CRM data, with fluency in global tools such as Google Analytics or Adobe Analytics and domestic tools such as SensorsData or Miaozhen.

• Strong data manipulation and analytical skills using SQL and, ideally, Python, BigQuery, Power BI, Tableau or similar tools, plus a tech-savvy ability to pick up new data tools and AI-assisted analytical workflows quickly.

• Solid understanding of SEO measurement, acquisition and conversion analysis, attribution and customer journey analysis, and how to measure marketing performance and automation, plus practical experience with A/B testing, experiment design and personalisation measurement.

• Strong verbal and written English communication skills, with Mandarin a clear plus for working with China-based stakeholders and data, and the ability to communicate effectively with technical and non-technical audiences.

• Strong stakeholder presence, with the ability to present findings clearly and confidently, facilitate evidence-based discussions and influence decisions without relying on formal authority.

• Experience working in global organisations and collaborating across functions, regions and time zones, with the adaptability to work well amid changing priorities and across cultures.

Desirable:

• Experience with Customer Data Platforms and customer identity solutions, and hands-on involvement in One ID or unified customer identity initiatives.
• Experience supporting or scaling digital products from 0-to-1, including websites, mobile web applications, WeChat Mini Programs or WeChat Official Accounts.
• Knowledge of publishing, scientific publishing, research, education or information services industries.
• Experience supporting personalisation, customer intelligence or audience activation programmes, and using market research or market intelligence to shape product and marketing decisions.
• Experience with ETL, data integration, workflow automation or AI-assisted analytics tools such as Microsoft Copilot, ChatGPT, Claude, Gemini or Cursor.
• A curious, proactive and adaptable approach to problem-solving, and a willingness to test new tools and methods as the product, market and data landscape changes.

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 https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion

For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers/

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