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Process Intelligence Analyst

Job in Germany, Pike County, Ohio, USA
Listing for: PVH (Tommy Hilfiger/Calvin Klein)
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Salary/Wage Range or Industry Benchmark: 68508.6 - 102762.9 USD Yearly USD 68508.60 102762.90 YEAR
Job Description & How to Apply Below
Location: Germany

Position Title:

Process Intelligence Analyst

Location:

Dordrecht or Berlin – Hybrid, Permanent

About the Role

Publication speed is an important decision factor within the article submission process. To improve our publication speeds and to achieve a significant reduction in our turnaround times, we are looking for a Process Intelligence Analyst. This analyst will play a hands‑on role in realizing an optimal flow of our articles through our publishing pipeline of more than 3,000 journals. This role combines elements of business intelligence, process mining, and data analysis to drive informed decision‑making and change management.

Role

Responsibilities

Process Intelligence & Business Insights

  • Analyze publishing workflows using data from Looker, Google Big Query, and other BI tools, applying strong data analytics skills and knowledge of publishing workflows and systems to generate meaningful insights.
  • Identify inefficiencies and bottlenecks, leveraging process optimization and operational excellence to recommend actionable improvements.
  • Assist in defining and refining KPIs, data definitions, and reporting frameworks to track publishing speed, quality, and author/reviewer/editor experience, utilizing data analytics skills and a customer‑focus mindset.
  • Create process maps and visualizations to support change initiatives, using storytelling and managing complexity to communicate insights effectively.

Project & Change Management

  • Contribute to cross‑functional projects to optimize publication pipelines, applying process optimization and operational excellence to drive continuous improvement.
  • Support data‑informed change and adoption of analytics frameworks by leveraging managing ambiguity and data analytics skills to navigate evolving business needs.
  • Assist with stakeholder alignment across Editorial, Production, Technology, and Operations by utilizing building networks and managing complexity to foster collaboration and alignment.

Innovation & Automation

  • Collaborate with Product and Tech teams to explore automation and AI‑driven solutions, combining customer‑user requirements discovery with publishing workflows and systems expertise to identify high‑impact opportunities.
  • Support workflow enhancement proposals to reduce manual effort and errors through process optimization and a commitment to operational excellence.
  • Monitor the performance impact of implemented changes and suggest refinements using data analytics skills and a customer‑focus approach to maximize value.

Stakeholder Communication & Reporting

  • Present complex data insights clearly to technical and non‑technical audiences, applying storytelling and data analytics skills to drive understanding and action.
  • Liaise with Editorial, Publishing Performance, Operations, and Technology teams to align priorities, leveraging building networks and managing ambiguity to support effective collaboration.
  • Ensure reporting frameworks are transparent, scalable, and actionable through a combination of operational excellence and process optimization.

Key Relationships

  • Build effective partnerships with the Publishing Performance & Intelligence Center of Excellence and Editorial Engagement teams through strong building networks capabilities.
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