6 results for Cloud Computing Analyst jobs
Cyber Security Analyst
- Ottawa, ON
- remote
- Contract / Temporary
-
80 - 90 CAD / Hourly
- <p>We are looking for an experienced Cyber Security Analyst to support security operations to join our clients team. This Contract opportunity is ideal for a senior detail-oriented candidate who can work part-time hours while taking ownership of live monitoring, threat investigation, and timely incident response. The role suits someone who is comfortable working hands-on with Darktrace and related security technologies to strengthen detection capabilities and maintain a strong security posture.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Oversee day-to-day security monitoring activities and assess alerts to identify suspicious behaviour, emerging risks, and potential incidents.</p><p>• Use Darktrace and other security tools to investigate anomalies, validate threats, and recommend appropriate containment or remediation actions.</p><p>• Respond to cyber security events in real time, coordinate triage efforts, and support resolution to reduce operational impact.</p><p>• Review firewall, network, and cloud security configurations to improve protection across the environment.</p><p>• Analyze threat intelligence and security trends to refine detection approaches and strengthen defensive measures.</p><p>• Troubleshoot security issues across SOC-related processes, infrastructure, and technologies to maintain effective operations.</p><p>• Collaborate with internal stakeholders to document findings, communicate risk, and support ongoing security improvements.</p><p>• Contribute to configuration and quality management practices that enhance the reliability and effectiveness of security controls.</p>
- 2026-06-18T00:00:00Z
Data Scientist
- Cambridge, ON
- remote
- Contract / Temporary
-
60 - 75 CAD / Hourly
- We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms.<br><br>Responsibilities:<br>• Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis.<br>• Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities.<br>• Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results.<br>• Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes.<br>• Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning.<br>• Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs.<br>• Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format.<br>• Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.
- 2026-06-17T00:00:00Z
Data Scientist
- North York, ON
- onsite
- Permanent
-
100000 - 120000 CAD / Yearly
- <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. </p><p><br></p><p>A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
- 2026-06-07T00:00:00Z
HRIS Analyst
- Toronto, ON
- onsite
- Permanent
-
75000 - 80000 CAD / Yearly
- <p>We are looking for an HRIS Analyst to support HR operations through the effective administration and enhancement of the Dayforce platform in Toronto, Ontario. In this role, you will oversee employee data processes across the full employment lifecycle, help maintain reliable system performance, and contribute to accurate reporting and compliance activities. This position works closely with IT, HR, and Payroll teams to improve workflows, resolve issues, and provide responsive support in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize the Ceridian Dayforce system to support daily HR operations and business requirements.</p><p>• Manage employee records related to hiring, job changes, and departures while maintaining data integrity and confidentiality.</p><p>• Configure and update system settings, workflows, and user security to align with operational needs and compliance standards.</p><p>• Investigate system issues, troubleshoot errors, and coordinate solutions with internal stakeholders and technical teams.</p><p>• Produce regular and ad hoc reports to support decision-making, audits, and workforce data analysis.</p><p>• Partner with Payroll, HR Operations, and IT to ensure accurate processing and smooth system functionality across teams.</p><p>• Provide timely assistance to employees and internal users by addressing HRIS questions and resolving service requests.</p><p>• Support onboarding and offboarding activities by ensuring system transactions are completed accurately and on schedule.</p>
- 2026-06-10T00:00:00Z
Desktop Support Analyst
- Victoria, BC
- onsite
- Contract / Temporary
-
23.75 - 27.5 CAD / Hourly
- <p><strong>Overview:</strong></p><p>We are seeking a hands-on Desktop Support Analyst to join our Victoria-based client on a 6-month, fully onsite contract with strong potential for permanent conversion. This role supports a dynamic, multi-entity environment across aviation, agriculture, and a family office. You’ll provide end-to-end user support to a small but diverse user base, working through tickets while also proactively managing onboarding, offboarding, and device setup.</p><p><br></p><ul><li>Provide onsite desktop and end-user support across multiple business entities</li><li>Manage onboarding and offboarding processes (user provisioning, hardware setup, access management)</li><li>Configure, deploy, and maintain desktops, laptops, and peripherals</li><li>Troubleshoot hardware, software, and connectivity issues</li><li>Handle and prioritize tickets through the Freshservice ticketing system</li><li>Support and administer Microsoft 365 environment (Exchange, Teams, SharePoint basics)</li><li>Manage users and access within Active Directory</li><li>Assist with network-related troubleshooting (Cisco Meraki environment)</li><li>Maintain documentation and ensure best practices are followed across all entities</li></ul><p><br></p><p><br></p>
- 2026-06-10T00:00:00Z
Databricks Developer/Engineer
- Mississauga, ON
- remote
- Contract / Temporary
-
60 - 70 CAD / Hourly
- <p>We are looking for a Databricks Developer/Engineer to join a Contract opportunity in Mississauga, Ontario within the drink and beverages industry. This position will support the design and delivery of scalable data pipelines, helping move operational and forecasting information into a modern cloud-based environment. The ideal candidate brings strong end-to-end data engineering experience, with a focus on Azure-based ingestion, Databricks development, and reliable data integration across enterprise platforms. This is a 3 month contract to start looking for an individual available to start working immediately.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain data pipelines in Databricks to process, transform, and organize business-critical data for downstream use.</p><p>• Develop Azure-based ingestion workflows that bring source data into the data lake accurately and efficiently.</p><p>• Analyze source data structures and map them to target models to support consistent and dependable data loading.</p><p>• Enable the movement of operational shipment and loading data into cloud storage environments for reporting and analytics.</p><p>• Support the integration of forecast data back into Databricks so teams can access timely and usable information.</p><p>• Collaborate with internal stakeholders to ensure data is ingested correctly into Hyperion and aligned with business requirements.</p><p>• Contribute to end-to-end engineering activities, from initial data assessment through implementation, validation, and optimization.</p><p>• Assist with reporting and analytical needs by preparing datasets that can be leveraged in tools such as Power BI when required.</p>
- 2026-06-09T00:00:00Z