Data Analyst- Finance Accounting

We are seeking an experienced Data Analyst - Finance Accounting with strong banking finance domain expertise and hands-on data analysis capabilities. The successful candidate will act as a bridge between Finance, Business, and Data teams , translating complex Finance Accounting requirements into clear business processes, data requirements, data models, and reporting solutions.

This role requires more than querying and reporting data. The candidate should be a Finance Accounting subject matter expert capable of performing end-to-end business process analysis across areas such as Profit & Loss (P&L), cost allocation, Funds Transfer Pricing (FTP), and General Ledger (GL) structures , while working closely with data modellers and technology teams.

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

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 and financial performance reporting

Cost allocation

Funds Transfer Pricing (FTP)

General Ledger structures

Chart of Accounts and accounting hierarchies

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.

Experience with banking Finance transformation, Finance data platforms, or Finance data warehouse programmes.

Familiarity with dimensional modelling, logical/physical data modelling, and data lineage concepts.

Experience with BI and reporting tools such as Power BI, Tableau, Qlik, or similar platforms .