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About the Role

This role focuses on building, validating, and maintaining high-quality participant-level data that underpins sales compensation outcomes. You will work across sales, finance, and technology partners to ensure data is accurate, auditable, and ready for payout cycles. The role plays a key part in improving automation, reducing manual effort, and strengthening stakeholder confidence in compensation data.

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 and standardisation

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

Work Type

• Working flexible hours

Benefits

• Numerous wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Country specific benefits

About the Company

• A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
• At Elsevier, your work contributes to the world's grand challenges and a more sustainable future.
• We harness innovative technologies to support science and healthcare to partner for a better world.

Equal Opportunity

• We are committed to providing a fair and accessible hiring process.
• We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• EEO Know Your Rights.