Job Title: Process Intelligence Analyst
Location: Dordrecht or Berlin
Application deadline: 15th of March 2026
About Springer Nature
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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 https://group.springernature.com/gp/group/taking-responsibility/diversit...
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 https://careers.springernature.com/
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Job Posting End Date:
15-03-2026
