Data Analyst

About The Role

In collaboration with the Manager, Automation & Analysis and the wider GPO team, the Data Analyst will contribute to data and reporting activities that support BAU processes and strategic initiatives. This includes building dashboards, delivering advanced analytics and intelligence, and ensuring data quality and integrity. The Data Analyst will manage their own portfolio of journals and partner with Publishing teams to ensure journals are 'Production-ready', while facilitating submit-to-accept workflows and policy compliance.

Key Responsibilities

Data Analysis

• Design, build, and maintain dashboards and reporting tools using primarily Looker and Google BigQuery.
• Analyze large datasets to identify trends, patterns, and actionable insights that improve operational efficiency and/or support strategic decision-making.
• Contribute to the development and documentation of data standards, definitions, and best practices.
• Recommend and implement KPIs, data definitions, and reporting frameworks to measure success.

Journal Care

• Gather system requirements from publishers, editors, and service providers.
• Set up, maintain, and administrate peer review systems.
• Conduct presentations and training sessions for internal and external stakeholders.
• Ensure quality of article-level activities and act as an escalation point for individual journals.
• Develop and maintain relationships with stakeholders (Publishing, Editorial, Production, Technology & Operations staff, as well as external editors, reviewers, authors, and service providers).
• Maintain journal-specific records and documentation.

Other Responsibilities

• Advocate for continuous improvement, quality, and efficiency. Foster a culture of openness, transparency, and collaboration.

Requirements & Tech Stack

• Working with large datasets to extract insights and support operational or strategic decisions.
• Working with cross-functional teams and communicating technical findings to non-technical stakeholders.
• Working with Looker, Google BigQuery, and other BI tools.
• SQL and programming languages such as Python.

Qualifications

• Degree or equivalent work experience.
• Additional training or certification in data analysis, business intelligence, or data visualization is desirable.

Skills and Knowledge

• Technically minded approach to solutions.
• Excellent numeracy skills with proven attention to detail.
• Strong analytical skills with the ability to identify trends, patterns, and actionable insights from complex data.
• Excellent organization skills to manage multiple concurrent projects and competing priorities.
• Excellent written and verbal communication skills; able to communicate with individuals at all levels and on a global scale.
• Good problem-solving/logic/analytical skills with the ability to capture and document requirements and processes.
• Proactive and able to lead projects independently as well as part of a group.

Desirable

• Previous experience in a publishing and/or support role.
• Contributing to (sometimes interconnected) business projects.