Process Intelligence Analyst

Role Overview

• Analyze publishing workflows using data from Looker, Google BigQuery, and other BI tools, applying strong Data Analytics / Quantitative 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 / Quantitative Skills and a Customer-focus mindset.
• Create process maps and visualizations to support change initiatives, using Storytelling and Manages Complexity to communicate insights effectively.
• 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 Manages Ambiguity and Data Analytics / Quantitative Skills to navigate evolving business needs.
• Assist with stakeholder alignment across Editorial, Production, Technology, and Operations by utilizing Builds Networks and Manages Complexity to foster collaboration and alignment.
• 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 / Quantitative Skills and a Customer-focus approach to maximize value.
• Present complex data insights clearly to technical and non-technical audiences, applying Storytelling and Data Analytics / Quantitative Skills to drive understanding and action.
• Liaise with Editorial, Publishing Performance, Operations, and Technology teams to align priorities, leveraging Builds Networks and Manages Ambiguity to support effective collaboration.
• Ensure reporting frameworks are transparent, scalable, and actionable through a combination of Operational Excellence and Process Optimization.

Requirements

• Demonstrable 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
• 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
• 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
• Familiarity with Agile, Lean, Six Sigma methodologies
• Emerging project leadership and strategic planning skills
• Ability to track performance and value of processes after changes are implemented
• Support iterative adjustments based on performance data
• 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 leadership
• 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.

Tech Stack

• BigQuery
• PMP
• Tableau

Benefits

• Professional development opportunities
• Flexible working hours