Finance Data Analyst

Our Clients; Taguig; On-site; PHP 600,000 - 900,000; Full time

Job summary

Our Clients in Taguig is seeking a Finance Data Analyst to transform financial and operational data into timely, accurate insights that support reporting, planning, and performance management.

You will build and maintain reports and dashboards, partner with Finance and Data & Analytics, tackle data quality issues, and translate business questions into practical analytical solutions to drive informed decisions.

Qualifications

• Experience turning financial and operational data into actionable insights.
• Experience building finance reports and dashboards.
• Ability to work with large data sets and resolve data quality issues.
• Strong communication with stakeholders.

Responsibilities

• Build and improve finance reports, dashboards, and outputs for month-end close and forecasting.
• Investigate variances and data issues to ensure accurate reporting.
• Work with large and disparate data sets to generate insights.
• Gather requirements, define KPIs, and translate questions into analytical solutions.
• Deliver ad hoc analyses and models highlighting trends and opportunities.
• Improve finance data quality by identifying gaps and resolving them.
• Design and improve reporting processes, data definitions, and governance.
• Respond to finance-related data queries from stakeholders.
• Collaborate with Data & Analytics to maintain consistent reporting logic.
• Document report logic and metrics definitions.

Skills

Data analysis

Reporting dashboards

KPI definitions

Data quality

Tools

SQL

Excel

Job description

About the Role

The Finance Data Analyst plays a central role in helping the Finance function make confident, data-driven decisions. You'll turn financial and operational data into timely, accurate, and meaningful information that supports reporting, planning, and performance management across the business.

Working closely with Finance, Data & Analytics, and other stakeholders, you'll build and maintain the reports, dashboards, and analytical models that underpin month-end processes, forecasting, and ongoing performance tracking — while also helping resolve data quality issues, improve reporting efficiency, and turn business questions into practical analytical solutions.

Key Responsibilities

• Build, maintain, and continuously improve finance reports, dashboards, and recurring analytical outputs that support month-end close, forecasting, budgeting, and performance reviews.
• Ensure existing finance reporting is delivered accurately and on time, investigating variances, anomalies, and data issues as they come up.
• Work with large and sometimes disparate data sets, preparing and transforming data to generate meaningful business insight.
• Partner with Finance stakeholders to gather requirements, define KPIs, and translate business questions into clear, practical analytical solutions.
• Deliver ad hoc analysis and models that surface trends, risks, and opportunities, and support decision-making with actionable recommendations.
• Help lift the quality of finance data by spotting gaps and inconsistencies, and working with the right stakeholders to resolve them.
• Contribute to the design and improvement of reporting processes, data definitions, reconciliations, and supporting documentation.
• Respond to finance-related system, reporting, and data queries from internal stakeholders.
• Collaborate with Data & Analytics and upstream data owners to keep finance reporting logic consistent, scalable, and easy to understand.
• Document report logic, metric definitions, data mappings, and process steps to support continuity and good governance.

What Makes This Role Interesting

• You'll work across multiple data sources with varying levels of quality and completeness — a great opportunity to sharpen your data investigation and problem-solving skills.
• Translating finance and commercial needs into clear reporting logic and outputs is a core part of the role.
• You'll balance recurring reporting deadlines with ad hoc requests, learning to manage shifting priorities effectively.
• Getting to the root cause of data discrepancies and reconciling differences across systems is a regular and rewarding challenge.
• Strong communication matters — you'll explain analytical findings clearly to both technical and non-technical audiences.
• You'll help maintain reporting accuracy and consistency while driving improvements in automation and efficiency.

Autonomy & Decision-Making

You'll have ownership over day-to-day prioritization of analytical tasks, report design within agreed standards, data validation approaches, and recommendations for reporting improvements.

Bigger decisions — such as major changes to finance reporting strategy, investment in new tools or platforms, or material changes to metric definitions and governance — are made in partnership with senior stakeholders.