Data Analyst
Listed on 2026-06-11
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IT/Tech
Data Analyst
Are you motivated by turning complex data into trusted, decision‑ready insights that directly impact how people are rewarded for their work? Do you enjoy improving data processes and automation to make systems more accurate, scalable, and reliable?
Our team supports the accuracy and integrity of sales and compensation data across the organisation, working closely with Sales Operations, Finance, and technology partners to ensure data is reliable, well controlled, and ready for critical reporting and payout cycles.
About the RoleThis 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
- 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
Flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Equal Opportunity EmployerWe 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. USA Job Seekers: EEO Know Your Rights.
Accessibility and AccommodationWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1‑855‑833‑5120.
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