Senior Finance Data Analyst | SQL | CPA

Yondu, Inc.; Philippines; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Yondu, Inc. is seeking a Sr. Finance Data Analyst to deliver accurate and timely financial reporting and insights that drive business decisions.

You will develop and optimize dashboards, reports, and analytical solutions for month-end, forecasting, budgeting, and KPI tracking. You will collaborate with Finance, Data & Analytics, and business stakeholders to gather requirements, define KPIs, and ensure data quality and governance across reporting platforms.

Qualifications

• Bachelor's degree in finance, accounting, economics or related field.
• Minimum 2 years of data analytics, BI, reporting analytics, or finance analytics.
• Strong SQL skills with large data queries.
• Experience building dashboards/reports with Tableau or similar BI tools.
• Understanding of financial reporting, month-end processes, and controls.
• Excellent analytical and stakeholder management skills.
• Ability to communicate complex findings to both technical and non-technical audiences.

Responsibilities

• Develop, maintain, and enhance finance dashboards, reports, and models for budgeting and forecasting.
• Analyze large datasets to identify trends, risks, and business insights.
• Collaborate with Finance and stakeholders to gather requirements and KPI definitions.
• Investigate data quality issues and reporting discrepancies.
• Perform ad hoc analysis and provide actionable recommendations.
• Improve reporting efficiency through automation and governance practices.
• Coordinate with Data & Analytics to ensure consistent reporting logic.
• Document methodologies, metric definitions, data mappings, and processes.
• Support finance-related reporting inquiries from internal stakeholders.

Skills

SQL

Dashboarding

Data visualization

Data wrangling

Stakeholder mgmt

Education

Bachelor's degree

Tools

Tableau

Alteryx

dbt

Python

R

Job description

The Sr. Finance Data Analyst is responsible for delivering accurate, timely, and actionable financial reporting and insights to support business decision-making. Working closely with Finance, Data & Analytics, and business stakeholders, this role develops dashboards, reports, and analytical solutions that support month-end reporting, forecasting, budgeting, KPI tracking, and continuous improvement initiatives. The ideal candidate combines strong SQL and BI reporting skills with a solid understanding of finance processes and data analysis.

Key Responsibilities

• Develop, maintain, and enhance finance dashboards, reports, and analytical models supporting budgeting, forecasting, month-end reporting, and performance management.
• Analyze large and complex datasets to identify trends, risks, opportunities, and business insights.
• Partner with Finance and business stakeholders to gather requirements, define KPIs, and deliver reporting solutions.
• Investigate and resolve data quality issues, discrepancies, and reporting anomalies.
• Perform ad hoc analysis and provide actionable recommendations to support decision-making.
• Improve reporting efficiency through automation, process enhancements, and data governance practices.
• Collaborate with Data & Analytics teams to ensure consistent and scalable reporting logic.
• Document reporting methodologies, metric definitions, data mappings, and business processes.
• Support finance-related reporting, system, and data inquiries from internal stakeholders.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Statistics, Mathematics, Computer Science, or a related field.
• Minimum 2 years of experience in Data Analytics, Business Intelligence, Reporting Analytics, or Finance Analytics.
• Strong SQL skills with experience querying and analyzing large datasets.
• Experience building dashboards and reports using Tableau or similar BI tools.
• Strong understanding of financial reporting, accounting principles, month-end processes, and finance controls.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Ability to communicate complex findings to both technical and non-technical audiences.

Preferred Qualifications

• Experience in telecommunications, financial services, or other data-driven industries.
• Exposure to data preparation and transformation tools such as Alteryx, dbt, or similar platforms.
• Experience with Python or R for analytics and automation.
• Understanding of data warehousing, ETL processes, and data governance.
• Experience supporting KPI frameworks, forecasting models, and executive reporting.