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6 дней назад

Data Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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