4 results for Cloud Computing Analyst in Toronto, ON

Genesys Cloud Specialist

Whitby, ON
onsite
Contract / Temporary
45 - 60 CAD / Hourly
We are looking for an experienced Genesys Cloud Specialist to support a non-profit organization in Whitby, Ontario through a Long-term Contract engagement. This role is suited to a senior consultant who can oversee day-to-day platform operations, optimize contact centre capabilities, and help maintain a reliable cloud-based telephony environment. The successful candidate will bring strong technical judgement, hands-on configuration expertise, and the ability to work across service teams to improve performance and user experience. Responsibilities: • Oversee the ongoing administration of the Genesys Cloud CX environment, ensuring the platform remains stable, secure, and effective for daily operations. • Manage system configuration across user accounts, access levels, divisions, queues, skills, and routing profiles to align with operational needs. • Track platform performance and availability, resolve front-line support issues, and escalate more complex incidents to the managed service provider when necessary. • Build and refine Architect call flows to support efficient customer journeys and dependable contact handling processes. • Set up and maintain routing models, queue logic, overflow paths, callback options, operating schedules, and holiday coverage. • Configure announcements, audio prompts, and customer-facing messaging to support clear and consistent communications. • Support Workforce Management setup by maintaining business units, management units, scheduling structures, and forecasting parameters. • Contribute to Quality Management administration, including evaluation workflows, recording capabilities, and calibration activities that strengthen service quality. • Work with stakeholders to recommend practical improvements to telephony, cloud contact centre operations, and related business processes. • Provide documentation, knowledge sharing, and user guidance to support adoption, training, and effective platform use.
2026-07-09T00:00:00Z

Data Analyst

Toronto, ON
onsite
Contract / 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

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organization 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 Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<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>Tech environment<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>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-06-25T00:00:00Z

Data Engineer

North York, ON
onsite
Permanent
110000 - 125000 CAD / Yearly
We are looking for an experienced Data Engineer to build and enhance modern data solutions that support finance-focused business priorities in Toronto, Ontario. This position combines hands-on engineering with technical leadership to strengthen data pipelines, improve model consistency, and enable trusted reporting and advanced analytics. The successful candidate will help modernize legacy data environments within a cloud-based Lakehouse architecture while promoting strong governance, security, and scalability across enterprise data platforms. What you'll be working on:• Design, build, and maintain scalable data pipelines and integrations that support finance data products and downstream reporting needs.• Lead the modernization of legacy finance data environments by moving critical datasets and workflows into Azure-based Lakehouse platforms.• Develop reusable engineering frameworks and standardized data models to improve consistency, efficiency, and long-term maintainability.• Collaborate with cross-functional stakeholders to connect finance data assets with broader enterprise platforms for analytics, planning, and AI-driven use cases.• Apply data governance, security, and quality standards throughout the data lifecycle to ensure reliable and compliant solutions.• Optimize data processing performance for large and complex datasets using tools such as Databricks, PySpark, and Azure-native services.• Support the delivery and ongoing enhancement of business intelligence solutions, including data structures used for Power BI reporting.• Contribute to platform administration and technical best practices across Azure data services, while documenting work and tracking delivery through project tools.• Identify opportunities to streamline data processes and implement improvements that increase operational efficiency and solution reliability.
2026-07-18T00:00:00Z