6 дней назад
Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (AI) (SQL/Python/R): Developing scalable data-quality capabilities, automated validation frameworks, and anomaly-detection systems for large structured and unstructured datasets with an accent on statistical validation, data integrity, and AI-assisted automation. Focus on integrating reusable validation tools into ETL/ELT pipelines, data warehouses, APIs, and event-driven architectures while identifying irregularities without relying on domain expertise.
Location: Manila, One Ayala Tower 2, Philippines
Company
develops and supports technology and data capabilities for ING's banking operations.
What you will do
- Validate structured and unstructured datasets for completeness, consistency, accuracy, and lineage integrity.
- Apply statistical techniques, pattern recognition, and anomaly-detection algorithms to identify irregularities without relying on domain expertise.
- Design automated validation checks for schemas, thresholds, data drift, distributions, rules, and machine-learning-based assessments.
- Develop scripts, tools, pipelines, and reusable frameworks for automated data-quality assessments across multiple sources and formats.
- Integrate validation capabilities into ETL/ELT pipelines, data warehouses, APIs, and event-driven architectures.
- Collaborate with data engineering, product, and reporting teams to ensure data is reliable for operational, analytical, and AI-driven systems.
Requirements
- Strong SQL skills for data extraction, cleaning, and validation.
- Experience with Python or R for data processing, automation, and tool development.
- Experience with large datasets, modern data platforms, data-quality frameworks, anomaly detection, and statistical validation.
- Knowledge of ETL/ELT data-integration patterns and monitoring tools.
- Familiarity with GenAI concepts, prompt engineering, LLM-assisted automation, and building agents with Microsoft Copilot Studio or comparable technology.
- Strong problem-solving, logical reasoning, abstraction, hypothesis-driven thinking, and pattern-recognition skills.
Nice to have
- Experience with data-quality monitoring tools such as SODA.
- Familiarity with data-engineering concepts.
Culture & Benefits
- Full-time role based at One Ayala Tower 2 in Manila.
- Collaboration with data engineering, product, and reporting teams.
- Work on data-intensive systems supporting operational, analytical, and AI-driven use cases.
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