Editorial Data Analyst

PAY: $45-50/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.

Remote role, no onsite work required.

The Senior Editorial Data Analyst uses data and reporting to evaluate the performance of editorial and publishing products, platforms, and services. This role develops analytics tools, establishes KPIs, monitors performance trends, and provides insights that support decision-making and continuous improvement across the manuscript and peer review process.

• Develop and maintain reporting, analytics tools, dashboards, and performance models.
• Monitor vendor SLAs and product, platform, journal, and service performance against KPIs and benchmarks.
• Analyze trends across manuscript submission, peer review, editorial operations, and related publishing workflows.
• Establish and maintain KPIs, benchmarks, and data requirements.
• Analyze Voice of Customer (VOC) data and provide actionable insights.
• Use data to identify performance issues and opportunities for improvement.
• Monitor data quality and troubleshoot data integrity or reporting issues.
• Partner with Editorial, Publishing, Research, and other stakeholders to communicate findings and improve performance.
• Maintain metadata, reporting documentation, and analytical processes.

• 3-5 years of relevant data analytics experience.
• 1-3+ years of scholarly publishing experience and familiarity with research publishing platforms, products, or services.
• Experience with statistical/analytical tools such as Python, R, SAS, SPSS, or STATA.
• Advanced Excel, including VBA.
• Intermediate to advanced SQL.Experience with Power BI.
• Strong knowledge of analytics methodologies, KPI development, data analysis, and visualization.
• Bachelor’s degree in mathematics, statistics, computer science, another technical field, or equivalent industry experience.