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10 дней назад

Senior Analytics Engineer, Enterprise Analytics & Advisory (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Analytics Engineer, Enterprise Analytics & Advisory (AI): Designing and delivering enterprise analytics and AI solutions on Google Cloud Platform with an accent on BigQuery, Vertex AI, data modeling, orchestration, visualization, and machine learning. Focus on securing analytics consumption, automating reporting environments, enabling self-service data use, and leading cross-functional delivery across banking stakeholders.

Location: Toronto, Ontario, Canada — Toronto-81 Bay. The work arrangement and proportion of on-site and remote work will be discussed during the interview.

Company

hirify.global is a relationship-oriented bank providing financial services and analytics capabilities for modern banking.

What you will do

  • Lead the design, development, and implementation of enterprise analytics solutions on Google Cloud Platform.
  • Build end-to-end analytics and AI solutions covering data modeling, orchestration, pipelines, visualizations, and machine learning models.
  • Use BigQuery, Vertex AI, Agentic AI environments, Power BI, Databricks, Alteryx, Azure, and GCP to support strategic initiatives.
  • Optimize reporting and analytical processes through automation, reducing manual intervention and improving effectiveness.
  • Lead data enablement strategies and collaborate with business, technology, architecture, security, and change management groups.
  • Build relationships with internal and external partners and provide guidance and upskilling to data teams and stakeholders.

Requirements

  • 5+ years of hands-on experience developing and supporting analytics engineering, AI, and cloud-based analytics solutions.
  • Strong experience with Google Cloud Platform, including BigQuery; Gemini Enterprise Agent Platform experience is highly preferred.
  • Practical experience with Databricks, Power BI, T-SQL, and Python.
  • Strong presentation, communication, analytical, business analysis, and consulting skills.
  • Experience investigating complex problems and translating banking processes into data outputs.
  • Must be legally eligible to work in Canada and hold a valid work or study permit where applicable.

Nice to have

  • Experience with Gemini for Google Cloud, Google Gemini Code Assist, Microsoft Azure Databricks, Microsoft Dynamics 365 Power BI, and PL/SQL.

Culture & Benefits

  • Competitive salary and incentive pay.
  • Banking benefits, a benefits program, defined benefit pension plan, and employee share purchase plan.
  • Vacation, wellbeing support, and a points-based recognition program.
  • Professional growth opportunities and a paid Purpose Day for personal development.
  • Inclusive and accessible candidate and workplace experience.

Hiring process

  • The process may include an attribute-based assessment and skills tests such as simulation, coding, or French proficiency testing.
  • Artificial intelligence tools may be used during recruitment.

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