3 results for Help Desk Analyst I in Brampton, ON

Help Desk/Desktop Support Analyst

North York, ON
onsite
Temporary
25 - 30 CAD / Hourly
We are looking for a customer-focused Desktop Support Analyst to join a Financial Services organization in Toronto, Ontario on a Contract basis. This position plays a key role in supporting employees and advisors by resolving day-to-day technical issues, preparing equipment for new hires, and maintaining a reliable end-user computing environment. The successful candidate will work closely with internal IT teams while delivering attentive, responsive service to both technical and non-technical users. This is a 2 month contract to start, fully in office for client in North York, Ontario. Responsibilities:• Deliver first- and second-level technical support for staff and advisors, addressing incidents and service requests in a timely and thorough manner.• Set up workstations, user accounts, and equipment for new employees, ensuring a smooth onboarding experience from day one.• Diagnose and resolve issues involving desktops, laptops, printers, scanners, mobile devices, software applications, and network access.• Administer and support core workplace technologies, including Microsoft 365, Windows 10 and 11, Active Directory, Azure, and Intune.• Track, assign, and maintain IT hardware inventory, including device deployment, recovery, and lifecycle updates.• Escalate complex issues appropriately and collaborate with Infrastructure and Security teams to support broader technical initiatives and problem resolution.• Provide deskside and remote assistance to users with varying levels of technical knowledge, maintaining a strong service-oriented approach.• Create and update support documentation, ticket notes, and knowledge resources to improve issue tracking and team efficiency
2026-07-27T00:00:00Z

Database Analyst

Thornhill, ON
onsite
Permanent
50000 - 76000 CAD / Yearly
We are looking for a Database Analyst to support data-driven decision-making for a service-focused organization in Thornhill, Ontario. This role combines database expertise with business insight to turn complex information into clear reporting, campaign analysis, and practical recommendations. The successful candidate will work closely with cross-functional teams to interpret data, evaluate performance, and develop meaningful analytics solutions. Responsibilities: • Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights. • Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis. • Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders. • Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making. • Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance. • Use programming and database tools to manage large enterprise data environments and ensure reliable access to information. • Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences. • Support data initiatives involving SQL-based environments, including work completed through SQL Server Management Studio and related platforms when required.
2026-07-28T00:00:00Z

Data Analyst

Toronto, ON
onsite
Temporary
28.5 - 33 CAD / Hourly
We are looking for a Data Analyst to support fraud-focused analytics initiatives within a banking environment in Toronto, Ontario. This Long-term Contract opportunity is ideal for someone who can turn complex data into practical insights, strengthen fraud detection approaches, and work across technical and business teams. The role combines hands-on analysis with pipeline and reporting support, while partnering with stakeholders involved in lending, operations, and regulatory processes. Responsibilities: • Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns. • Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests. • Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic. • Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines. • Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently. • Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs. • Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations. • Assist with project delivery activities by coordinating analysis tasks, documenting outcomes, and supporting change-related work within financial services technology initiatives.
2026-07-20T00:00:00Z