Data Analyst

Responsibilities

• Ingest and consolidate large datasets from Sales Operations, Finance, and CRM systems
• Map transactions and performance metrics to sales participants
• Own data quality controls, reconciliation processes, and audit trails
• Ensure accurate attribution of revenue, quotas, credits, overlays, and splits
• Prepare validated datasets to support compensation payout cycles
• Investigate and resolve data discrepancies and support audits
• Build reporting to track data accuracy, readiness, trends, and risks
• Review end-to-end processes to identify inefficiencies and implement automation

Requirements

• Strong experience working with large, complex datasets
• Advanced Excel skills for analysis, reconciliation, and validation
• Experience in analytics, sales compensation, or related data operations
• Ability to perform root-cause analysis and solve data quality issues
• Clear communication skills to work with technical and non-technical stakeholders
• Experience preparing data for financial or compensation processes
• Knowledge of SQL or Python
• Familiarity with compensation platforms, CRM systems, and data visualisation tools

Benefits

• Flexible working hours to support productivity and work-life balance
• Wellbeing initiatives and study assistance
• Shared parental leave and sabbatical opportunities
• Country-specific benefits packages

About the Company

Elsevier is a global leader in advanced information and decision support for science and healthcare. We combine high-quality content with powerful analytics to deliver mission-critical insights that help professionals make better decisions. Part of the RELX Group, we support researchers, healthcare professionals, and innovators to advance science and improve health outcomes worldwide.