Specialist Cyber Analytics

SECTION B: WORK ASSIGMENT DESCRIPTION

Job Title:

Specialist Cyber Analytics Division Toronto

Cyber Security Reports To Manager Strategic Transformation Salary Range $115,672 to $160,649 Work Location 55 John Street, Toronto Job Type Permanent Full Time Shift Information Monday to Friday, 35 hours work week

To design, develop, and maintain cloud?based data pipelines, backend services, and analytics workflows that support cyber security reporting, risk insights, and executive and operational decision?making, using hands?on coding, automation, and modern development practices.

To build, enhance, and operationally support scalable data and analytics platforms, working collaboratively across teams to ensure data quality, pipeline resiliency, CI/CD?driven delivery, and reduced long?term reliance on external development and implementation partners.

To configure, extend, and assume technical ownership of cyber risk and governance platforms (e.g., GRC/CSRM?type tools) following core implementation, providing ongoing development, workflow automation, integrations, and operational support while contributing to backlog management and delivery execution.

• Support the design, development, and maintenance of cloud?hosted data pipelines for cyber dashboards, metrics, and risk reporting under senior guidance.
• Assist with implementing and updating data ingestion and integration patterns as data sources and reporting needs evolve.
• Contribute to the reliability, performance, and scalability of data pipelines through monitoring, testing, and incremental improvements.
• Support automated data ingestion, transformation, validation, and reconciliation workflows to ensure consistent data processing.
• Assist with troubleshooting pipeline failures, data quality issues, and operational incidents, escalating complex issues as required.
• Support secure file?based and API?driven data ingestion processes, acting as a secondary technical resource for integrations and file operations.
• Perform data cleansing, transformation, and validation to support accurate, auditable, and fit?for?purpose reporting outputs.
• Apply coding and development best practices (version control, testing, documentation) when contributing to scripts, workflows, and automation.
• Assist with maintaining and supporting production dashboards, including updates, performance tuning, publishing, and operational support.
• Support the configuration and day?to?day operation of analytics, governance, and workflow platforms (e.g., GRC/CSRM tools), including access controls and compliance requirements.

• Postsecondary degree in Computer Science, Information Technology, Data Analytics, or a related discipline, or an equivalent combination of education, training, and practical experience.
• Demonstrated experience applying data analytics and analytical techniques to identify patterns, trends, and anomalies across complex datasets, including operational, security, or risk related data.
• Hands on experience designing, developing, and supporting data and analytics solutions in modern computing environments, with a strong preference for AWS based platforms. This includes practical experience with AWS services such as S3, Glue, Lambda, Redshift, Step Functions, and Work spaces, and the design of scalable ETL pipelines and orchestration workflows.
• Experience with comparable Azure or Google Cloud services (e.g., Azure Data Factory, Synapse, Data Lake, Functions; GCP Big Query, Dataflow, Cloud Storage) is considered an asset.
• Strong knowledge of data management principles, including data modeling, querying, transformation, and validation, to enable reliable, auditable, and fit for purpose reporting and analysis.
• Proven experience extracting, cleaning, transforming, and analyzing data from multiple sources, and collaborating with data owners or subject matter experts to understand data context, quality considerations, and limitations.
• Experience designing, building, and maintaining reports, dashboards, and analytical outputs that support strategic, operational, and executive decision making.
• Working knowledge of database query languages and…