Data Quality & Validation Analyst

ING Hubs B.V. Philippine Branch; Makati; On-site; PHP 420,000 - 680,000; Full time

Job summary

ING Hubs B.V. Philippine Branch is seeking a Data Analyst to safeguard the accuracy and reliability of large datasets.

You will develop scalable data-quality capabilities and automated validation, ensuring data feeding our systems is trustworthy and ready for decision-making. Collaborating with data engineering, product and reporting teams, you will apply SQL and Python/R to validate data, implement anomaly detection, and build reusable data pipelines.

Qualifications

• Experience with SQL for data extraction and validation.
• Proficiency in Python or R for data processing and automation.
• Familiar with data-quality frameworks and anomaly detection.
• Experience with large datasets and modern data‑platform technologies.
• Knowledge of ETL/ELT patterns and monitoring tools.
• Familiar with GenAI concepts and prompt engineering.
• Experience building agents with Copilot Studio or similar.

Responsibilities

• Validate structured and unstructured data for completeness and accuracy.
• Design automated data-quality checks and drift detection.
• Develop data pipelines and tools to automate data-quality assessments.

Skills

SQL

Python/R

Data quality

Anomaly detection

ETL/ELT

Monitoring tools

GenAI concepts

Prompt engineering

LLM automation

Copilot studio

Tools

SODA

Job description

ING Hubs B.V. Philippine Branch is seeking a Data Analyst to safeguard the accuracy and reliability of large datasets.

You will develop scalable data-quality capabilities and automated validation, ensuring data feeding our systems is trustworthy and ready for decision-making. Collaborating with data engineering, product and reporting teams, you will apply SQL and Python/R to validate data, implement anomaly detection, and build reusable data pipelines.