Process Intelligence Analyst

Job Title: Process Intelligence Analyst

Location: Dordrecht or Berlin

Application deadline: 15th of March 2026

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 / @SpringerNature

About the Role

Publication speed is an important decision factor within the article submission process – it is one of a few primary factors authors look at when deciding to submit. To improve our publication speeds, in other words to achieve a significant reduction in our turnaround times (TATs), we are looking for a Process Intelligence Analyst. The analyst plays a hands-on role in realizing an optimal flow of our articles along our publishing pipeline of 3k+ journals.

This role will be instrumental in reducing article TATs, enhancing author experience, and supporting the company’s broader business objectives. Process Intelligence Analysts use tools and techniques to identify inefficiencies, bottlenecks, and areas for optimization within an organization’s workflow. This role combines elements of business intelligence, process mining, and data analysis to drive informed decision-making and change management.

This role will be in our Dordrecht or Berlin offices on a hybrid working model.

Role Responsibilities:

• Process Intelligence & Business Insights
• Analyze publishing workflows using data from Looker, Google BigQuery, and other BI tools
• Identify inefficiencies and bottlenecks, and recommend actionable improvement recommendations
• Assist in defining and refining 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 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 proposals to reduce manual efforts and errors
• Monitor performance impact of implemented changes and suggest refinements

Stakeholder Communication & Reporting

• Present complex data insights clearly to 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, Publishing Strategy, Production, Operations and Technology teams
• Collection Management, Content Retention, and Research Integrity teams

Experience, Skills & Qualifications:

• 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 content-driven environment

Skills

• Data Collection and BI Analysis
• Proficient in analysing publishing performance metrics, identify pattern and draw meaningful conclusions to drive strategic improvements
• Expertise in tools such as Looker, Google BigQuery, Tableau, or PowerBI to extract, transform and visualize data

Process Mapping and Visualization

• Creating visual representations of workflows to understand how processes are executed and identify areas of improvement
• Skilled in process modelling, task mining and identifying performance bottlenecks
• Pinpoint areas where processes are slow, broken or unnecessarily complex
• Knowledge of business process management (BPM) and improvement frameworks
• Project & Change Management
• Experience supporting cross-functional initiatives and stakeholder alignment
• Familiarity with Agile, Lean, Six Sigma methodologies
• Emerging project leadership and strategic planning skills

Monitoring and Value Reporting

• Ability to track performance and value of processes after changes are implemented
• Support iterative adjustments based on performance data

Stakeholder Engagement & Communication

• Skilled in communicating complex data insights to technical and non-technical audiences
• Strong ability to liaise with Editorial, Operations, and Technology teams
• Comfortable presenting insights, dashboards and recommendation to senior leadershi

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 a plus

At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent.

Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here

If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation.

For more information about career opportunities in Springer Nature please visit

#LI-EP1

Job Posting End Date:

15-03-2026