Data Analytics Engineer | SQL, Python, BI & Data Warehouse

Credit Corp; Metro Manila; Hybrid; PHP 600,000 - 800,000; Full time

Benefits offered by this job

Complimentary life insurance

HMO coverage from day one

Retirement benefits

Weekly fruit in office

Engaging company events

IATF-aligned health & safety

Competitive salary with incentives

Work-life balance culture

Job summary

Credit Corp is seeking a data analytics professional to own analytics, data processes, and operational workflows in a flexible hybrid work setup. You’ll work across data analysis, reporting, data management, and process improvement to help operations, marketing, and lending teams make data-driven decisions.

Responsibilities include developing data pipelines, optimizing data warehouses, and delivering insights through Power BI and Tableau.

Qualifications

• Proven analytics experience in a commercial environment.
• Strong SQL, SAS or Python skills for data analysis.
• Experience with cloud data platforms (AWS, Snowflake, Databricks).
• Analytical thinker with ability to handle large datasets.
• Experience with Power BI/Tableau and reporting frameworks.
• Degree in Mathematics, Statistics, Engineering, Finance, or related quantitative discipline.

Responsibilities

• Support analytics teams with exploratory data analysis, modelling, and data requests.
• Maintain and improve data warehouse processes and data management frameworks.
• Support campaign design, execution, automation, and performance analysis across channels.
• Deliver and maintain reporting solutions (Power BI, Tableau).
• Provide frontline support and troubleshooting for reporting tools and systems.
• Partner with stakeholders and drive continuous improvement across the business.

Skills

SQL

SAS

Python

Cloud platforms

Data visualization

Big data

Education

Quantitative degree

Tools

Power BI

Tableau

Job description

Credit Corp is seeking a data analytics professional to own analytics, data processes, and operational workflows in a flexible hybrid work setup. You’ll work across data analysis, reporting, data management, and process improvement to help operations, marketing, and lending teams make data-driven decisions.

Responsibilities include developing data pipelines, optimizing data warehouses, and delivering insights through Power BI and Tableau.