Top Tech Jobs & Startup Jobs in Toronto

8 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Retail
Provide strategic assortment insights and recommendations across banners using customer and performance data. Support category management framework, define and validate category guardrails, collaborate with cross-functional teams, and prepare monthly performance materials for leadership to inform assortment strategy and decisions.
Top Skills: ExcelMacrosSQLTableauVBA
Reposted 11 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Retail
The Senior Data Scientist supports targeted marketing campaigns by analyzing data, developing insights, measuring performance, and mentoring team members with a focus on machine learning and statistical rigor.
Top Skills: AWSAzureClouderaGCPGoogle Data StudioHadoopHiveLookerPythonSnowflakeSQLTableau
12 Days AgoSaved
In-Office
Oakville, ON, CAN
Senior level
Senior level
Retail
Analyze customer and financial data to produce actionable insights that improve retention and loyalty program performance. Build reports and visualizations, apply statistical techniques (segmentation, clustering, hypothesis testing), partner with data teams to improve infrastructure and reporting, and support cross-functional stakeholders with analytics and storytelling.
Top Skills: AzureBi ToolsHadoopPythonSASSQL
Reposted 12 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Retail
The Manager of Cyber & Technology Risk evaluates and implements cybersecurity strategies and technologies, ensuring alignment with risk management standards and compliance. They act as a liaison among various departments, promoting awareness and managing risks effectively.
Top Skills: CloudDlpFirewallsIdamIds/Ips
Reposted 12 Days AgoSaved
In-Office
Toronto, ON, CAN
Mid level
Mid level
Retail
Design and deliver statistical and causal models, experimental test designs, and predictive analytics to optimize loyalty, customer engagement, and marketing program performance. Collaborate cross-functionally to generate insights, validate results, and contribute to advanced analytics strategy.
Top Skills: Azure SynapseDatabricksPythonRSASSparkSQL
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Reposted 14 Days AgoSaved
In-Office
Oakville, ON, CAN
Senior level
Senior level
Retail
Support and oversee the bank's Operational Resilience Framework, conduct monitoring and second-line oversight, run assessments and reporting, lead stakeholder meetings, provide subject-matter expertise, deliver training, and maintain resilience processes and tools.
Top Skills: Governance Risk And Compliance (Grc) SoftwareExcelMS OfficeMicrosoft WordOperational Resilience SoftwareThird-Party Risk Management Software
16 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Retail
Lead retail and loyalty analytics by designing measurement frameworks, causal inference and experimental designs, building statistical, ML and deep learning models, and developing agentic AI solutions. Drive optimization and orchestration of end-to-end analytical pipelines, produce actionable insights for marketing and customer engagement, and present findings to business stakeholders.
Top Skills: PythonRSASSparkSQL
Reposted 17 Days AgoSaved
In-Office
Oakville, ON, CAN
Mid level
Mid level
Retail
The Accounts Payable Specialist resolves vendor issues, supports projects, prepares reports, develops queries, updates documentation, and provides training.
Top Skills: JdaJdeManhattanExcelMicrosoft Office WordOraclePeoplesoftPower BIPowerPointSAPSQLVBA
Reposted 17 Days AgoSaved
In-Office
Oakville, ON, CAN
Junior
Junior
Retail
Support the development and enforcement of data governance policies and standards. Collaborate with stakeholders to enhance data quality and compliance while managing data governance projects.
Top Skills: APIsAzureData Governance ToolsDatabricks Unity CatalogEltETLGCPIbm Cloud Pak For DataExcelMicrosoft PowerpointMicrosoft VisioPl/Sql
20 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Retail
Lead enterprise data strategy, governance, platforms, analytics, and data product development. Advise leadership on AI, privacy, and data-driven decision-making. Partner across IT, Finance, Operations, and external vendors to deploy data solutions, build data literacy, mentor analytics staff, and measure organizational impact to inform investments and improve services for children and communities.
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