Associate/Process Intelligence Analyst

Springer Nature is seeking an Associate Process Intelligence Analyst to optimize publication speeds across over 3,000 journals. This full-time hybrid role, based in Dordrecht, Berlin, or Shanghai, involves identifying inefficiencies, bottlenecks, and opportunities for optimization using data-driven insights. The analyst will support informed decision-making, contribute to cross-functional projects, explore automation solutions, and communicate complex data insights to various stakeholders to improve publishing workflows and reduce turnaround times.

Must Have

• 2–5 years of experience in data science, data analysis, process intelligence, BI, program/project management, or performance optimization
• Demonstrated contributions to improvements in publishing, consulting, tech, or related fields
• Experience supporting cross-functional initiatives and stakeholder engagement
• Familiarity with editorial and production workflows in publishing or a content-driven environment
• Proficiency in analyzing publishing performance metrics, identifying patterns, and drawing meaningful conclusions
• Expertise in Looker, Google BigQuery, Tableau, or Power BI for data extraction, transformation, and visualization
• Ability to model workflows, identify bottlenecks, and propose solutions using business process management (BPM) frameworks
• Strong ability to communicate complex data insights to varied audiences, present dashboards and recommendations, and liaise effectively with internal teams
• Bachelor’s degree in Business Administration, Data Analytics, Data Science, Strategic Management, Project Management, or a related field

Good to Have

• Master’s degree or PhD in a data-intensive field
• Certifications in PMP, Agile, or Lean Sigma (for levels above Associate)

Perks & Benefits

• Hybrid working flexibility
• Opportunities to learn from some of the best in the business
• Culture that encourages curiosity and empowers people to find solutions and act on their instincts
• Commitment to diversity, equity, and inclusion
• Accommodation for access needs related to disability, neurodivergence or a chronic condition

About Springer Nature

Springer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people.

For over 180 years, our brands and imprints have been a trusted source of knowledge to these communities, and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.

Visit group.springernature.com and follow @SpringerNature / @SpringerNatureGroup.

About the Role

Publication speed is an important decision factor within the article submission process – one of the primary elements authors consider when deciding where to submit. To improve our publication speeds and achieve a significant reduction in turnaround times (TATs), we are seeking an Associate Process Intelligence Analyst.

This role plays a hands-on, supportive part in optimizing the flow of our articles through a publishing pipeline of over 3,000 journals. The (Associate) Process Intelligence Analyst will help identify inefficiencies, bottlenecks, and opportunities for optimization within our workflows, using data-driven insights and process analysis to support informed decision-making and change management.

This full-time position is based in Dordrecht, Berlin or Shanghai and offers hybrid working flexibility.

Role Responsibilities

Process Intelligence & Business Insights

• Analyze publishing workflows using data from Looker, Google BigQuery, and other BI tools.
• Identify inefficiencies and bottlenecks, recommending actionable improvements.
• Support the definition and refinement of KPIs, data definitions, and reporting frameworks to track publishing speed, quality, and author/reviewer/editor experience.
• Create process maps and visualizations to support change initiatives.

Project & Change Management

• Contribute to cross-functional projects to optimize publication pipelines.
• Support data-informed change and promote the adoption of analytics frameworks.
• Assist with stakeholder alignment across Editorial, Production, Technology, and Operations.

Innovation & Automation

• Collaborate with Product and Tech teams to explore automation and AI-driven solutions.
• Support workflow enhancement initiatives to reduce manual effort and errors.
• Monitor the performance impact of implemented changes and suggest refinements.

Stakeholder Communication & Reporting

• Present complex data insights clearly to both technical and non-technical audiences.
• Liaise with Editorial, Publishing Performance, Operations, and Technology teams to align priorities.
• Ensure reporting frameworks are transparent, scalable, and actionable.

Key Relationships

• Publishing Performance & Intelligence Center of Excellence and Editorial Engagement teams.
• Product, Publishing, Strategy, Production, Operations, and Technology teams.
• Collection Management, Content Retention, and Research Integrity teams.

Experience, Skills & Qualifications

Experience

• 2–5 years of experience in data science, data analysis, process intelligence, BI, program/project management, or performance optimization.
• Demonstrated contributions to improvements in publishing, consulting, tech, or related fields.
• Experience supporting cross-functional initiatives and stakeholder engagement.
• Familiarity with editorial and production workflows in publishing or a content-driven environment.

Skills

• Data Collection & BI Analysis: Proficiency in analyzing publishing performance metrics, identifying patterns, and drawing meaningful conclusions to drive improvements.
• Tools: Expertise in Looker, Google BigQuery, Tableau, or Power BI for data extraction, transformation, and visualization.
• Process Mapping & Visualization: Ability to model workflows, identify bottlenecks, and propose solutions using business process management (BPM) frameworks.
• Project & Change Management: Experience supporting cross-functional initiatives and stakeholder alignment; familiarity with Agile, Lean, or Six Sigma methodologies (for levels above Associate).
• Monitoring & Value Reporting: Ability to track process performance after changes and propose iterative adjustments.
• Stakeholder Engagement & Communication: Strong ability to communicate complex data insights to varied audiences, present dashboards and recommendations, and liaise effectively with internal teams.

Qualifications

• Bachelor’s degree in Business Administration, Data Analytics, Data Science, Strategic Management, Project Management, or a related field.
• Master’s degree or PhD in a data-intensive field is a plus.
• Certifications in PMP, Agile, or Lean Sigma are an advantage (for levels above Associate).

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/