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Data Analyst – Finance Accounting

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Onsite

Data Analyst – Finance Accounting

RAPSYS TECHNOLOGIES PTE LTD

Data Analyst – Finance Accounting

Skills

SQL QueriesTableauData AnalysisPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

14 August 2026

What they need


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.
  • Exposure to data governance, metadata management, data quality, and Finance data controls is desirable.

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