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9 часов назад

IT Data Governance Intern (AI)

45 000 - 60 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
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
IT Data Governance Intern (AI): Supporting data governance projects that improve data quality, usability, transparency, and trust for analytics and AI with an accent on metadata, data validation, and governance documentation. Focus on analyzing data with SQL and AI-assisted methods, building governance dashboards, and developing solutions for data discoverability and explainability.

Location: Canada; hybrid work with three days per week of in-person presence, including office work or market-facing engagements. Legal eligibility to work in Canada is required.

Salary: CAD 45,000–60,000 per year.

Company

Zurich Canada is part of hirify.global, a global multiline insurance provider serving commercial and local markets.

What you will do

  • Document business definitions, data quality rules, mappings, and metadata for critical data elements.
  • Support data quality assessments using SQL scripts, data profiling, anomaly detection, and AI-assisted rule generation.
  • Prepare data quality and data governance dashboards and reports.
  • Create and maintain data catalogs, lineage documentation, business definitions, and other governance artifacts.
  • Contribute to applications and solutions that improve data discoverability, explainability, and trust for analytics and AI.

Requirements

  • Currently pursuing a degree in Data Management, Analytics, Computer Science, Information Systems, or a related field.
  • Knowledge of SQL for querying, analyzing, and validating data.
  • Experience with Microsoft Excel and PowerPoint.
  • Familiarity with data analytics, reporting, or business intelligence concepts.
  • Strong analytical, problem-solving, critical-thinking, communication, and attention-to-detail skills.
  • Legally eligible to work in Canada.

Nice to have

  • Experience with Python libraries such as Pandas or PySpark.
  • Basic understanding of enterprise data quality and data validation techniques.
  • Customer-focused problem-solving experience and the ability to work independently.

Culture & Benefits

  • Collaborative, inclusive, and values-driven work environment.
  • Comprehensive health and benefits plan with multiple coverage levels.
  • At least four weeks of vacation and four personal days per year.
  • Training and development opportunities.
  • Commitment to diversity, inclusion, equity, accessibility, and employee well-being.

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