2 results for Data Analysis Manager in Whitby, ON
Data Security Analyst
- Scarborough, ON
- onsite
- Contract / Temporary
-
60 - 70 CAD / Hourly
- We are looking for a Cybersecurity Analyst to support a machinery manufacturing organization in Scarborough, Ontario. The ideal Cybersecurity Analyst will have experience to protect our clint's computer systems, networks, and data from cyber threats. The ideal candidate will monitor security systems, identify vulnerabilities, respond to incidents, and implement security measures to safeguard sensitive information. This is a 6 month contract, 3 days in office in Scarborough, Ontario. <br> Key Responsibilities Monitor networks and systems for security breaches or suspicious activity Investigate and respond to cybersecurity incidents in a timely manner Conduct vulnerability assessments Analyze security logs and alerts from SIEM tools Implement and maintain security controls, policies, and procedures Perform risk assessments and recommend mitigation strategies Stay up to date with emerging threats, vulnerabilities, and technologies Collaborate with IT teams to ensure secure system configurations Assist with compliance efforts (e.g., ISO 27001, NIST, GDPR, HIPAA) Provide security awareness training to employees Coordinate prevention services (e.g. penetration testing) with security partners
- 2026-05-13T00:00:00Z
Data Engineer
- Toronto, ON
- onsite
- Permanent
-
100000 - 120000 CAD / Yearly
- <p>Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their <strong>Data Engineering</strong> team to meet rising demand from the business.</p><p>This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data.</p><p><br></p><p><strong>What you’ll be doing</strong></p><ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul><p><strong>Tech environment</strong></p><ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li><em>(Marketing Cloud / CRM / customer data experience is highly relevant)</em></li></ul><p><br></p>
- 2026-05-14T00:00:00Z
