Data 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

Job Title: Data Analyst

Role Summary

The Data Analyst plays a critical role in safeguarding the accuracy, integrity, and reliability of large and complex datasets. This role focuses on developing scalable data‑quality capabilities and automated validation frameworks and intelligent anomaly detection — without requiring domain knowledge of the underlying business data. You will collaborate closely with data engineering, product, and reporting teams, ensuring that data feeding our operational, analytical, and AI‑driven systems is trustworthy, consistent, and ready for decision‑making. The ideal candidate combines technical depth with strong analytical intuition and thrives in data‑intensive, fast‑moving environments.

Key Responsibilities

Data Quality & Validation

Perform in depth validation of structured and unstructured datasets to ensure completeness, consistency, accuracy and lineage integrity. Apply statistical techniques, pattern recognition methods, and anomaly detection algorithms to identify irregularities without requiring domain-expertise. Design and implement automated data‑validation checks, including schema validation, threshold monitoring, drift and distribution detection, and rules‑based and machine learning based assessments.

Tooling & Automation

Develop scripts, tools, and data pipelines to automate data-quality assessments. Build reusable frameworks to detect data inconsistencies across multiple sources and formats. Integrate validation tools into existing data infrastructure (e.g., ETL/ELT pipelines, data warehouses, APIs and event driven architectures).

Required Skills & Qualifications

Technical Skills

Strong proficiency in SQL (data extraction, cleaning, and validation). Experience with Python or R for data processing, automation, and tool development. Familiarity with data‑quality frameworks, anomaly detection techniques, and statistical validation. Experience working with large datasets and modern data‑platform technologies. Knowledge of data‑integration patterns (ETL/ELT) and monitoring tools. Familiar with GenAI concepts and prompt engineering and LLM assisted automation Experienced in building agents with MS Copilot studio or comparable technology

Analytical Skills

Excellent problem‑solving skills — especially in contexts where domain knowledge is limited. Ability to identify trends, irregularities, and outliers using structured and unstructured methods. Strong logical reasoning, abstraction and hypothesis driven thinking Demonstrate pattern‑recognition abilities, translating data signals into actionable insights.

Preferred Qualifications

Experience with data‑quality monitoring tools (i.e. SODA). Familiar with data engineering concepts

Company Culture

We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward‑thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow.