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ING Group

# Data Analyst

Data & Analytics 

Listed on ING Group’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
[Apply on ING Group’s careers site →](https://careers.ing.com/en/job/makati-city/data-analyst/3121/38735631168)

[OpenNash Jobs](https://jobs.opennash.com/) / [ING Group](https://jobs.opennash.com/companies/ing-group/) / Data Analyst

## 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).

### 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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 20, 2026
- Listed for: 7 days[Apply on ING Group’s careers site →](https://careers.ing.com/en/job/makati-city/data-analyst/3121/38735631168)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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