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Elsevier

Data Analyst

Elsevier
🇬🇧In-Person - London, United Kingdom£38K–£52K/yri2h ago
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Role Snapshot

Data Analyst role focused on building and maintaining high-quality sales compensation data that ensures accurate payouts and supports critical financial reporting cycles. This position bridges Sales Operations, Finance, and technology teams to improve data accuracy, automation, and organizational confidence in compensation processes.

Key Responsibilities: Ingest and consolidate datasets from Sales Operations, Finance, and CRM systems; own data quality controls, reconciliation, and audit trails; ensure accurate attribution of revenue and compensation metrics; prepare validated datasets for payout cycles and investigate data discrepancies.
Skills & Tools: Advanced Excel proficiency for analysis and reconciliation; strong SQL or Python programming; experience with data quality assurance, root-cause analysis, and data visualization tools; clear communication with technical and non-technical stakeholders; familiarity with compensation platforms and CRM systems.
Qualifications: Proven experience working with large, complex datasets in analytics, sales compensation, or data operations roles; demonstrated ability to prepare data for financial or compensation processes; experience in audit and reconciliation processes.
Location: In-Person - London, United Kingdom
Compensation: £38K–£52K/yr (estimated)

Job Description

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? About our Team Our team supports the accuracy and integrity of sales and compensation data across the organisation. We work closely with Sales Operations, Finance, and technology partners to ensure data is reliable, well controlled, and ready for critical reporting and payout cycles. The team focuses on continuous improvement, strengthening data quality, increasing automation, and reducing risk through clear processes, collaboration, and shared accountability. 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 in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working 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. About the Business 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. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We 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. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. 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. USA Job Seekers: EEO Know Your Rights. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier. Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers