Data Analyst - Fintech BI & Insights

eTap Inc.; Makati; On-site; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Medical Reimbursement

Performance Bonus

HMO

Job Training

Professional Development

Job summary

eTap Inc. is seeking a Data Analyst to gather, clean, and analyze data from multiple sources to drive business insights. You will build dashboards, reports, and visualizations to support decision making and improve operational efficiency.

The role requires 2+ years in data analytics, strong Excel/SQL skills, and experience with Power BI or Tableau. On-site work in Makati, with a focus on data quality and collaboration with MIS Supervisor.

Qualifications

• Bachelor’s degree in a related field.
• 2+ years in data analysis, reporting, or BI.
• Experience collecting, cleaning, processing, and analyzing large datasets.

Responsibilities

• Gather data from multiple sources for analysis.
• Clean, process, and transform data for reporting.
• Analyze data to identify trends and insights for business performance.
• Develop, maintain, and customize reports and dashboards.
• Support data pipelines and automation to improve efficiency.
• Ensure data quality and integrity across platforms.
• Collaborate with MIS Supervisor and cross-functional teams.

Skills

Bachelor’s degree in CS/IT/Analytics

2+ years experience

Excel

SQL

Power BI

Tableau

Statistics knowledge

Data visualization

Analytical thinking

Communication

Cross-functional collaboration

Attention to detail

Education

Bachelor's degree in CS/IT/Data Analytics/Statistics/Math/Business Analytics

Tools

Microsoft Excel

SQL

Power BI

Tableau

Job description

eTap Inc. is seeking a Data Analyst to gather, clean, and analyze data from multiple sources to drive business insights. You will build dashboards, reports, and visualizations to support decision making and improve operational efficiency.

The role requires 2+ years in data analytics, strong Excel/SQL skills, and experience with Power BI or Tableau. On-site work in Makati, with a focus on data quality and collaboration with MIS Supervisor.