Finance Data Analyst
Job Summary
We are seeking an experienced Data Analyst with strong banking finance domain expertise to act as a bridge between Finance, Business, and Data teams. The successful candidate will translate complex Finance Accounting requirements into clear business processes, data models, and reporting solutions. This role requires a subject matter expert capable of performing end-to-end business process analysis across areas such as P&L, cost allocation, FTP, and General Ledger structures.
Responsibilities
- Serve as Finance Accounting SME for banking-related data and reporting initiatives.
- Analyze P&L, cost allocation, FTP, and General Ledger structures.
- Translate business requirements into data models, rules, and reporting specifications.
- Perform data profiling, reconciliation, and validation using SQL.
Required Skills
- 5+ years in banking/financial services as Finance Data Analyst or SME
- Strong domain knowledge in P&L, FTP, and General Ledger
- Strong hands-on SQL skills
- Advanced Microsoft Excel skills
- Strong stakeholder management and communication skills
Job Details
Key Responsibilities
- Serve as a Finance Accounting SME for banking-related data, reporting, and transformation initiatives.
- Analyze existing and target-state Finance Accounting business processes, systems, data flows, and reporting requirements.
- Perform detailed analysis across:
* Profit & Loss (P&L) structures and reporting
* Cost and expense allocation methodologies
* Funds Transfer Pricing (FTP)
* General Ledger (GL), chart of accounts, and accounting hierarchies
* Financial management and regulatory reporting data
- Engage Finance stakeholders to understand business objectives, pain points, reporting requirements, and data dependencies.
- Translate business and functional requirements into Data requirements, Source-to-target mappings, Business rules, Data definitions, Logical data models, and Reporting specifications.
- Work closely with data modellers, data engineers, architects, and developers to ensure Finance requirements are accurately represented within enterprise data models and platforms.
- Use SQL to perform data profiling, reconciliation, validation, root-cause analysis, and investigation of Finance data issues.
- Analyze data lineage from source systems through accounting and reporting platforms to downstream Finance reports.
- Support reconciliation between source systems, sub-ledgers, GL, management reporting, and analytical data platforms.
- Define and validate Finance KPIs, measures, dimensions, hierarchies, and calculation methodologies.
- Support the design, enhancement, and validation of Finance Accounting reporting suites and dashboards.
- Identify data quality issues and work with business and technology teams to define remediation approaches and controls.
- Produce business process flows, data mappings, functional specifications, and other analysis documentation.
- Support UAT by defining test scenarios, validating financial calculations, reconciling results, and coordinating issue resolution.
- Communicate complex Finance and data concepts clearly to both technical and non-technical stakeholders.
Required Experience and Skills
- 5+ years of experience as a Finance Accounting SME, Finance Data Analyst, Business Data Analyst, or similar role within the banking or financial services industry.
- Strong domain knowledge of P&L, financial performance reporting, cost allocation, Funds Transfer Pricing (FTP), General Ledger structures, Chart of Accounts, accounting hierarchies, and Finance reporting processes.
- Demonstrated experience performing business process analysis, not limited to technical data querying.
- Strong hands-on SQL skills for data analysis, profiling, reconciliation, and validation.
- Proven ability to translate business requirements into data models, mappings, business rules, and reporting requirements.
- Experience working with Finance Accounting data models, data warehouses, data marts, or enterprise data platforms.
- Experience with Finance Accounting reporting suites and management reporting solutions.
- Advanced Microsoft Excel skills, including complex formulas, PivotTables, data reconciliation, and analytical modelling.
- Comfortable working closely with data modellers to define entities, attributes, relationships, dimensions, hierarchies, and financial measures.
- Strong analytical and problem-solving skills with the ability to investigate complex financial data issues.
- Strong stakeholder management, communication, and documentation skills.
Preferred Qualifications
- Degree in Accounting, Finance, Business, Economics, Information Systems, Data Analytics, or a related discipline.
- Professional accounting qualification such as CPA, ACCA, CIMA, CA, or equivalent would be advantageous.