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  "job_title": "Lease Data Analyst & Data Inputter",
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  "job_description": "About the Opportunity\n\nA leading international organisation operating across multiple countries is delivering a major lease transformation project. With a network of more than 2,000 sites and a substantial property, equipment, and vehicle lease portfolio, they are undertaking a large-scale programme to cleanse, validate, and reconcile historic lease data.\n\nAs part of this project, we are looking for a Lease Data Analyst & Data Inputter to support the IFRS16 lease accounting team. This role suits someone highly detail-oriented, structured, and confident working with large volumes of financial and lease-related data.\n\nThe Role\n\nYou will form part of a specialist project team focused on improving lease data accuracy and clearing legacy control account balances. Working alongside analysts, supervisors, and reconciliation specialists, your role will primarily involve:\n• Collating, validating, and inputting lease information into a custom IFRS16 accounting system\n• Processing data for a portfolio of 4,000+ property, vehicle, and equipment leases\n• Updating system records using invoices, lease documents, and supporting information\n• Assisting with data reconciliation tasks across a large multi-site network\n• Providing general administrative and project support where required\n\nThis project is supported by a team of contractors, offering a collaborative environment while still requiring independence and ownership of your workload.\n\nWhat You'll Need\n\nEssential Skills\n• Experience using accounting systems or custom financial software\n• Strong Excel capability and solid numerical skills\n• Excellent attention to detail and accuracy\n• Ability to work independently and self-check your work\n• Comfortable managing large volumes of structured data\n• Logical, practical approach to resolving data gaps and gathering information internally\n\nDesirable\n• Experience of data entry into custom platforms\n• Familiarity with lease agreements or IFRS16 concepts",
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  "job_employment_type": "Full–time and Contractor",
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  "job_posted_at_timestamp": 1773360000,
  "job_posted_at_datetime_utc": "2026-03-13T00:00:00.000Z"
}