Financial Analyst (Bulacan)

TigerUX; Pulilan; On-site; PHP 600,000 - 900,000; Full time

Job summary

TigerUX is seeking a Finance Data Analyst to support data-driven decision making across manufacturing, logistics, and overhead costs. You will manage period-end closing processes, ensure accurate expense mapping, and produce timely insights in Power BI and Excel.

You will collaborate with cross-functional teams, validate accruals, monitor variances, and archive data for audit readiness. A bachelor’s degree in finance or related field and at least four years of relevant experience are required.

Qualifications

• Bachelor's degree in Finance, Business, Data Analytics, or a related field.
• At least 4 years of relevant work experience.
• Financial and data analysis; proficiency in Microsoft Excel, Word, and PowerPoint.

Responsibilities

• Manufacturing, Logistics, Sales and Admin cost and variance tracking; ensure proper ledger mapping.
• Generate daily expense transactions during closing periods; reconcile and reclassify as needed.
• Review expenses, accrual reversals vs. actuals, and perform re-accruals.
• Reconcile SG&A data across JDE, BPC, and FAH; monitor variances.
• Analyze shrink, usage variance, inventory provisions; monitor postings.
• Validate completeness of accruals and perform high-level trend analyses.
• Data review and consolidation during period-end closing; archiving.
• Post-closing: reporting, action tracking, and monitoring via Power BI.
• Data archiving and document management for audit compliance.

Skills

Financial analysis

Data analysis

Excel

PowerPoint

Word

Education

Bachelor's degree in Finance/Business/Data Analytics

Tools

Microsoft Excel

Microsoft Word

PowerPoint

Job description

Responsibilities

• Manufacturing (MFC), Logistics (LOG), Sales and Admin (SGA), FTE and cost (OSL, OT%), Production output, inventory related such as usage variance, inventory provisioning), fuel prices
• Generate daily expense transactions (MFC, SGA, LOG) during closing periods (M+1 to M+4, M+6).
• Ensure accurate mapping of expenses to proper ledger accounts
• Identify reclassification requirements and coordinate with relevant teams
• Review expenses, including accrual reversals vs. actuals, and ensure appropriate re-accruals.
• Reconcile SG&A data across JDE, BPC, and FAH systems, ensuring no material variances
• Perform analyses on shrink, usage (formula vs. actual) variance, inventory provisions
• Validate completeness of accruals and perform high-level trend analysis.

Period-end Closing: Data Review and Consolidation

• Manufacturing (MFC), Logistics (LOG), Sales and Admin (SGA), FTE and cost (OSL, OT%), Production output, inventory related such as usage variance, inventory provisioning), fuel prices
• Generate daily expense transactions (MFC, SGA, LOG) during closing periods (M+1 to M+4, M+6).
• Ensure accurate mapping of expenses to proper ledger accounts
• Identify reclassification requirements and coordinate with relevant teams
• Review expenses, including accrual reversals vs. actuals, and ensure appropriate re-accruals.
• Reconcile SG&A data across JDE, BPC, and FAH systems, ensuring no material variances
• Perform analyses on shrink, usage (formula vs. actual) variance, inventory provisions
• Validate completeness of accruals and perform high-level trend analysis.

Post-closing: Reporting, Action Tracking, and Monitoring

• Upload and maintain accurate datasets in local Power BI tool.
• Monitor financial and operational variances and ensure timely follow-through on corrective actions.
• Track and support resolution of issues in flagged locations (e.g., shrink, rework, aging).
• Maintain and update FTE and OSL movements (hires, resignations, transfers)
• Ensure proper tagging of A&P expenses by category in the monitoring file and Validate marketing activity phasing against recorded expenses
• Maintain and update actual expense tracking by segment and type

Data Archiving and Document Management

• Support data archiving activities to ensure compliance with statutory and audit requirements.

Qualifications

• Bachelor's degree in Finance, Business, Data Analytics, or a related field.
• At least 4 years of relevant work experience.
• Financial and data analysis; proficiency in Microsoft Excel, Word, and PowerPoint.

Work Schedule: Monday- Friday