Analytics Engineer, Global Analytics Operations
Requisition ID: 265733
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
**The Team:**
The Global Analytics Operations team at Scotiabank is focused on maintaining, stabilizing, and improving cloud-based data platforms so the bank can make data-driven decisions.

The team combines strong expertise in data engineering, analytics, and computer science to deliver scalable, reliable solutions.

With a solid focus on operational excellence, it drives high pipeline reliability, proactive monitoring, and timely issue resolution while continuously enhancing processes, improving user experience, and introducing new analytical patterns through close collaboration with cross-functional partners.
**Would this role be a fit for you?**
Support operational excellence through monitoring, incident management, and continuous process improvement
Own user requests and data inquiries while actively experimenting, learning, and driving continuous improvement in day-to-day operations .

Proactively identify gaps and implement scalable improvements, including new analytical patterns and automation to optimize workflows
Support analysts and data scientists with reliable, timely, and accessible data, while using AI/agent-based solutions to automate and optimize time-consuming processes
Partner with business teams to understand data needs and deliver actionable insights to management and stakeholders
Build and maintain scalable data models and ETL/ELT pipelines
Maintain data quality through automated testing, monitoring, and proactive issue resolution
Apply data governance, security, and documentation standards across pipelines and architecture
**Do you have the skills needed to succeed in this role?**
Bachelor’s or Graduate degree in Computer Science, Engineering,



or related field (or equivalent experience)
Strong experience in SQL (advanced to expert level), Python, and ETL/ELT pipeline development
Hands-on experience with cloud platforms (GCP, AWS, or Azure) and modern data stack tools (including dbt)
Experience with workflow orchestration tools such as Apache Airflow
Solid understanding of data warehousing concepts and dimensional modeling
Knowledge of the banking/finance domain and data governance practices is an asset
A high-performing, detail-oriented, and proactive mindset with strong ownership in handling user requests and troubleshooting issues, and driving continuous improvement initiatives
Location(s):
Canada: Ontario : Toronto
Scotiabank is a leading bank in the Americas.

Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our
Recruitment team know.

If you require technical assistance, pleaseclick here (https://www.scotiabank.com/careers/en/careers/technical-support-for-applicants.html) .

Candidates must apply directly online to be considered for this role.

We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

📌 Analytics Engineer, Global Analytics Operations (Toronto)
🏢 Scotiabank
📍 Toronto