The Standard is looking for a Senior Accounting & Data Analyst to ensure accurate and reconciled financial reporting during the integration of a reinsurance acquisition and process transformation within the finance team.
Requirements
- 5+ years experience in accounting/finance including hands on experience in reconciliations, controls and financial close processes.
- GAAP Accounting expertise and general ledger management.
- Proficiency in financial systems (ERP systems including data flows from source systems to GL.)
- Excel, PowerPoint and data query tools (e.g. SQL)
- Workday/SAP experience is a plus.
- STAT accounting experience is a plus.
Responsibilities
- Reconcile data across source systems and two separate entities’ general ledger systems (Workday and SAP), identifying and resolving variances through root-cause analysis and adjusting journal entries.
- Partner with the Senior Manager to ensure seamless monthly closes, intercompany reporting, and data integrity.
- Play a key role in finance transformation by evaluating existing processes, identifying inefficiencies, and recommending enhancements that improve accuracy, scalability, and efficiency.
- Collaborate closely with the Finance and IT teams to design and implement solutions and actively champion change across the organization.
- Develop deep expertise in financial data movement from source systems to the general ledger.
- Develop and maintain documentation of data flows and reconciliations.
- Work across Finance and IT to solve complex data challenges.
Other
- Excellent communication skills — able to translate complex ideas across Finance and IT with clarity and confidence.
- Collaborative and trusted — you build alignment across teams and drive shared outcomes.
- Approaches the work with a “builder’s mentality” — when inefficiencies are uncovered, proactively designs better processes.
- Excellent problem-solving skills and a track record of navigating ambiguity with confidence and creativity.
- Approaches the work with a “detective’s mindset” and digs into the data, asks the right questions, and doesn’t stop until the issue is solved.
