Senior Analyst, Finance Data & Reporting

Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe, and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture.

Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.

Everest is seeking a Senior Analyst, Finance Data & Reporting, a senior specialist with significant financial reporting and controls experience and advanced data, systems and automation capabilities. The role owns complex finance reporting deliverables, strengthens source-to-report integration, reconciliations and lineage, and leads cross-system data investigation and resolution. It supports controlled, scalable business-as-usual reporting and finance transformation, including finance data domain implementation.

The preferred candidate combines substantial practical finance experience with further formal qualifications in data and systems.

• Own the delivery and integrity of finance reporting datasets, cubes, reports and dashboards across entities, currencies and accounting bases.
• Automate finance data and reporting processes using SQL, Power Query, Power BI and VBA; apply AI with validation and human oversight to improve accuracy, efficiency and scalability.
• Establish data quality checks, automated reconciliations and source-to-report controls. Lead root cause investigations across source systems, interfaces, subledgers, general ledgers and reporting platforms; coordinate remediation, validate corrections and prevent recurrence.
• Translate reporting needs into documented definitions, rules, mappings and validation requirements with Finance, Data, IT, Underwriting, Claims, Credit Control and Reinsurance; define ownership and handovers.
• Shape finance data domain implementation and transformation across governance, architecture and integration. Embed lineage, mappings, reconciliations and controls in solution design, user acceptance testing and transition to business-as-usual.
• Deliver data, analysis and reporting solutions for Financial Reporting, FP&A, Tax, Actuarial and Group Finance, reflecting cut-off, foreign exchange and reporting-basis differences.
• Maintain documentation, reporting logic and reconciliation evidence for repeatable delivery, auditability, access control and change management.
• Manage concurrent BAU and project work streams within centrally agreed priorities; elevate competing demands, dependencies and capacity constraints, while supporting finance users and sharing expertise.

• Degree in Accounting, Finance or a related discipline, or equivalent professional qualification, with significant financial reporting and controls experience, including ownership of complex deliverables and control design and operation.
• Further formal qualifications in data, analytics or information systems, through postgraduate study or a substantive combination of recognised professional qualifications.
• Proven delivery of integrated data, reporting and reconciliation solutions to Finance teams, from requirements to BAU adoption; substantial hands‑on knowledge of financial close, ledgers, accounting judgements and controls.
• BI, data engineering, database or enterprise finance systems certifications backed by practical delivery are desirable. An accountancy qualification is complementary, not mandatory.
• Proven delivery of finance data and reporting projects within cross-functional teams.

• Deep financial reporting and controls expertise; ability to translate regulatory requirements into data rules, mappings, validations, reconciliations and tests.
• Insurance or reinsurance finance experience, preferably P&C, is desirable, covering premium, claims, reinsurance, FX, cut-off and multi-entity, multi-currency and multi-basis reporting.
• Strong understanding of policy and claims integration with finance platforms,…