Credit Data & AI Analytics Analyst

Gotyme Ph; Philippines; On-site; PHP 360,000 - 600,000; Full time

Job summary

GoTyme is hiring a Credit Data & Reporting Analyst in Quezon City, Philippines. This role supports data processes for campaigns, regulatory reporting, and business insights, welcoming fresh graduates or early-career professionals who are detail-oriented and analytics-driven.

You will work with marketing, risk, analytics, and data engineering teams to ensure accurate reports, reliable datasets, and actionable insights, using Databricks, SQL, Python, and BI tools to automate dashboards and

Qualifications

• Bachelor's degree in a data-related field and up to 2 years of experience preferred.
• Open to fresh graduates and early-career professionals with strong data analytics fundamentals.
• Proficiency in SQL; Python a plus and exposure to Databricks a bonus.
• Familiarity with BI/visualization tools (Power BI, Tableau, Qlik) is expected.
• Strong analytical thinking, attention to detail, and cross-team collaboration skills.

Responsibilities

• Assist in data extraction, transformation, and audience segmentation for campaigns.
• Perform data reconciliation and validation for regulatory and bureau reports.
• Maintain documentation, audit trails, and version control for submissions.
• Design and maintain dashboards monitoring campaign performance, portfolio health, and credit risk KPIs.
• Translate business requirements into clear, actionable visualizations and automate recurring reports.

Skills

SQL

Python

Databricks

Power BI

Tableau

Qlik

Data Viz

Analytics

Communication

Education

Bachelor's degree in Data Science, Information Systems, Statistics, Mathematics, Finance, Economics, or related field

Job description

GoTyme is hiring a Credit Data & Reporting Analyst in Quezon City, Philippines. This role supports data processes for campaigns, regulatory reporting, and business insights, welcoming fresh graduates or early-career professionals who are detail-oriented and analytics-driven.

You will work with marketing, risk, analytics, and data engineering teams to ensure accurate reports, reliable datasets, and actionable insights, using Databricks, SQL, Python, and BI tools to automate dashboards and