Data Quality Analyst — Automated Validation & Anomaly Detection

ING Hubs Philippines; Metro Manila; Hybrid; PHP 480,000 - 900,000; Full time

Job summary

ING Hubs Philippines is seeking a Data Analyst to safeguard the accuracy and reliability of large datasets. You will develop scalable data-quality capabilities and automated validation frameworks, including anomaly detection, without needing domain knowledge.

You will collaborate with data engineering, product, and reporting teams to ensure trustworthy data for operational, analytical, and AI-driven systems.

Qualifications

• Experience with SQL for data extraction, cleaning and validation.
• Knowledge of data-quality frameworks and statistical validation.

Responsibilities

• Validate structured and unstructured datasets for completeness and accuracy.
• Design automated data-validation checks and monitoring.
• Develop scripts and pipelines to automate quality assessments.

Skills

SQL

Python/R

data-quality

anomaly detection

ETL/ELT

GenAI concepts

LLM automation

Tools

SODA

data pipelines

monitoring tools

Copilot/MS Copilot

Job description

ING Hubs Philippines is seeking a Data Analyst to safeguard the accuracy and reliability of large datasets. You will develop scalable data-quality capabilities and automated validation frameworks, including anomaly detection, without needing domain knowledge.

You will collaborate with data engineering, product, and reporting teams to ensure trustworthy data for operational, analytical, and AI-driven systems.