全职 Data Analyst – Finance Accounting 工作, 薪水 up to SGD 9,000, RAPSYS TECHNOLOGIES PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

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.