Job description

Role location: U.S. About the role: The Senior Financial Data Analyst supports data analysis efforts related to insurance systems development, including data conversions, data preparation, and the maintenance of reference data that supports downstream systems such as the Enterprise Data Warehouse (EDW), Oracle General Ledger, and Ceded Reinsurance platforms. A key focus of this role is partnering with the Finance team throughout the financial close process. This includes validating that data from source systems is accurately reflected in the EDW, ensuring premium calculations are producing expected results, investigating variances, and resolving discrepancies before results are posted to the General Ledger. The role also supports financial reconciliations and helps finalize reporting outcomes. In addition, the Senior Financial Data Analyst is responsible for documenting source-to-target reconciliations, tracking data variances through resolution, and supporting compliance with audit and SOX requirements. This position manages a prioritized backlog of development requests and user stories, ensuring business requirements are clearly documented and accurately represent stakeholder needs. The analyst works closely with developers to clarify requirements, validate completed solutions, and obtain business approval before implementation. The Senior Financial Data Analyst partners closely with the VP, Insurance Enterprise Data to prioritize initiatives across the organization and collaborates with the Project Manager to coordinate releases, communicate changes, and support successful deployment of enhancements into the production environment. Base salary for the selected candidate will range from $150,000 to $175,000, commensurate with candidate experience and expectations. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plan, competitive time off plans, a highly flexible work environment, and much more. Responsibilities & Accountabilities: Supports the VP of Insurance Enterprise Data to ensure effective and timely development of new and/or enhanced systems/technologies. Provides deep technical and business analysis of data such that developers can effectively create solutions that assist leaders with data-driven decision making. Creates source-to-target mappings with support from functional business representatives. Owns the process of user and technical story writing for all work to be delivered. Maintains a groomed backlog, ensuring each story includes a clear, concise description, acceptance criteria, a developer point estimate, and an agreed-upon delivery expectation with the business. Owns the process of obtaining business sign off on all stories being deployed to production as well as ensuring the code is released to production on a timely basis. This requires close consultation with developers to ensure proper evidence and documentation support the release. Completes the business analysis activities and helps the development team understand the analysis. Supports quality assurance efforts for assigned systems/technologies through vendors, system integrators, and internal development teams. Design test cases and testing scenarios working with QA engineers. Ideal Candidate Profile: Bachelor’s degree preferred, or an equivalent combination of professional experience. 5-7 years of experience in data analysis, business analysis, or financial systems support, ideally within the P&C insurance or reinsurance industry. Experience working with data warehouses, general ledger systems, and financial close processes is preferred. Strong knowledge of Property and Casualty Insurance, including policy life cycle, policy structure, and core data elements typically captured. Experience working with financial data, particularly data feeding the General Ledger and supporting internal and external financial reporting. Exposure to the audit process in providing evidence and support for financial controls. Thorough understanding of Unearned Premium logic and derivation (including DAC). Experience with validating and correcting logic used for the calculation. Strong communication skills, with the ability to bridge finance, IT, and development teams. Must be comfortable speaking with and presenting to senior business leaders with respect to data solutions and challenges. Basic SQL skills and the ability to read and understand ETL code and logic. Sharp analytical skills – ability to triage data issues and recommend corrective action. Ability to multitask and manage multiple projects in a fast-paced environment. Experience with various data architectures (ODS, Data Lake, Data Marts, etc.). Keen understanding of data transformations using Reference/Master data. Exposure to cloud implementations using structured, semi-structured, and unstructured data methods. Knowledge of application deployment & test automation products, processes, and best practices to ensure full source-to-target reconciliation. Good understanding of Agile development methods and their application to company technology needs. Our Vantage Values Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities.Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined.We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally.Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself.Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.

Requirements

Must-haves

Role location: U.S.
In addition, the Senior Financial Data Analyst is responsible for documenting source-to-target reconciliations, tracking data variances through resolution, and supporting compliance with audit and SOX requirements.
Supports the VP of Insurance Enterprise Data to ensure effective and timely development of new and/or enhanced systems/technologies.
Provides deep technical and business analysis of data such that developers can effectively create solutions that assist leaders with data-driven decision making.
Creates source-to-target mappings with support from functional business representatives.
Owns the process of user and technical story writing for all work to be delivered.
Maintains a groomed backlog, ensuring each story includes a clear, concise description, acceptance criteria, a developer point estimate, and an agreed-upon delivery expectation with the business.
Completes the business analysis activities and helps the development team understand the analysis.
Supports quality assurance efforts for assigned systems/technologies through vendors, system integrators, and internal development teams.
Design test cases and testing scenarios working with QA engineers.
5-7 years of experience in data analysis, business analysis, or financial systems support, ideally within the P&C insurance or reinsurance industry.
Strong knowledge of Property and Casualty Insurance, including policy life cycle, policy structure, and core data elements typically captured.
Experience working with financial data, particularly data feeding the General Ledger and supporting internal and external financial reporting.
Exposure to the audit process in providing evidence and support for financial controls.
Thorough understanding of Unearned Premium logic and derivation (including DAC). Experience with validating and correcting logic used for the calculation.
Strong communication skills, with the ability to bridge finance, IT, and development teams. Must be comfortable speaking with and presenting to senior business leaders with respect to data solutions and challenges.
Basic SQL skills and the ability to read and understand ETL code and logic.
Sharp analytical skills – ability to triage data issues and recommend corrective action.
Ability to multitask and manage multiple projects in a fast-paced environment.
Experience with various data architectures (ODS, Data Lake, Data Marts, etc.).
Keen understanding of data transformations using Reference/Master data.
Exposure to cloud implementations using structured, semi-structured, and unstructured data methods.

Nice-to-haves

Bachelor’s degree preferred, or an equivalent combination of professional experience.
Experience working with data warehouses, general ledger systems, and financial close processes is preferred.

Application prep

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Keywords to mirror

sqlagile

Platform: dayforce
Effort: medium