Specialist, Data Analytics

Specialist, Cyber Data Analytics
Hybrid, 3 days on site, Toronto, ON
Fulltime Permanent

JOB SUMMARY:

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.

MAJOR RESPONSIBILITIES:

• 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.

QUALIFICATIONS/CERTIFICATIONS:
 

• 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 Workspaces, 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 BigQuery, 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 analytics or development tools used for data processing, automation, and workflow enablement, including version control systems (e.g., Git) and modern development practices.
• Experience applying analytics, data engineering, or reporting capabilities within security aligned, risk focused, regulatory, or governance contexts is considered an asset.
• Broad understanding of enterprise information technology environments, with the ability to quickly learn and adapt to new platforms, tools, and architectures.
• Exposure to or experience working in security conscious environments where data integrity, access controls, privacy, and responsible handling of sensitive information are critical.
• Relevant technical or security focused certifications—particularly AWS certifications (AWS Certified Data Engineer), with Azure or GCP certifications as nice to have—are considered an asset.

SKILLS:

• Demonstrated ability to work effectively within transformative, technology driven programs, adapting to evolving requirements and platforms.
• Proven ability to communicate and collaborate efficiently with diverse stakeholders, including technical teams, business partners, leadership, and external vendors, to achieve shared outcomes.
• Strong capability to influence and drive business objectives through effective stakeholder engagement and sound technical judgment.
• Excellent written and verbal communication skills, with the confidence to communicate complex technical concepts clearly across all organizational levels.
• Advanced problem solving skills, with the ability to analyze, diagnose, and resolve complex or non routine technical and operational challenges.
• Strong attention to detail, organizational skills, and commitment to producing accurate, reliable, and auditable outputs.
• Highly self motivated and proactive, able to work independently while contributing effectively as part of a collaborative team.
• Ability to thrive in a fast paced environment, managing multiple initiatives and competing priorities while meeting strict deadlines.
• Strong analytical, prioritization, and multitasking skills, with the ability to assess trade offs and make informed decisions.
• Ability to perform effectively under pressure, maintaining professionalism, focus, and sound judgment.
• Strong sense of ownership and accountability, with a demonstrated willingness to go beyond assigned tasks to ensure successful delivery and operational continuity.
• Demonstrated ability to think critically and respond decisively, particularly in security relevant or time sensitive situations, where sound judgment and rapid response are essential.

ADDITIONAL COMMENTS/INFORMATION:
A normal work week is 35 hours, however, unforeseen situation may require extended hours of work with little or no prior notice. In case of a cyber incident or breach, rotation shift, continuous extended hours may be required with little or no prior notice.
             
*Subject to a police check, background check, psychological assessment and/or any other checks on a regular basis as the Toronto Cyber Security handles highly sensitive and confidential information.