Data & Analytics Engineer (Hybrid)

Bank of Canada; Ottawa; Hybrid; CAD 75,000 - 88,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Bank of Canada is hiring a Data and Analytics Specialist to deliver high-quality data and analytics solutions across the organization. You will support data pipelines, modelling, and dashboards, ensuring timely, accurate insights for economists, researchers and business units.

You will work in a collaborative, agile environment within the Data and Digital Services division, contributing to data quality, automation, and user-focused outcomes.

Qualifications

• Strong quantitative and analytical skills; proficient in at least one statistical language such as Python or R.
• Solid understanding of coding and DevOps principles; experience with data/analytical solutions and SQL databases.
• Ability to translate analytical needs into effective technical solutions with a client focus.
• Experience developing technical workflows that automate processes and improve data quality.
• Strong communication and collaboration skills; ability to explain technical concepts to non-technical audiences.

Responsibilities

• Develop and deliver high-quality data and analytic solutions for client departments or product lines; apply best practices in data modelling and visualization.
• Support, enhance, and integrate existing data/analytical solutions to evolving business needs.
• Contribute recommendations for client departments on data quality and analytics solutions.
• Collaborate with colleagues and participate in agile practices and team ceremonies.
• Work with DDS, ITS and partners to implement best practices and share knowledge.

Skills

Quantitative skills

Analytical skills

Python

R

SQL

Education

College diploma or university degree in statistics

Tools

SQL databases

Azure

Data Factory

Job description

Bank of Canada is hiring a Data and Analytics Specialist to deliver high-quality data and analytics solutions across the organization. You will support data pipelines, modelling, and dashboards, ensuring timely, accurate insights for economists, researchers and business units.

You will work in a collaborative, agile environment within the Data and Digital Services division, contributing to data quality, automation, and user-focused outcomes.