Top Data Analytics Jobs in Toronto

The Director, Commercial Monitoring, Control and Analytics is responsible for governance, credit processes, and analytics within the Commercial department. This role involves collaboration across teams to ensure compliance with regulatory frameworks and involves managing projects to enhance efficiency and maintain adherence to policies and procedures.

The Senior Director will drive the integration and optimization of EQ Bank’s technology platforms through modern data architecture, manage a team, lead strategic planning, and shape data strategy and governance programs while enhancing customer outcomes.

Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.

The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.

The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.

The Senior Manager - Data Engineering/Reporting will lead data engineering and reporting projects, translating business problems into engineering solutions, managing teams, and presenting analytic solutions to stakeholders. Responsibilities include hands-on work with SQL and data visualization, while ensuring best practices and collaboration with internal teams and clients.

Looking for a Data Engineer with 4+ years of experience in IT industry, expertise in Python and Pyspark, and experience building data pipelines using Azure stack. The candidate should have strong analytical skills and the ability to align data systems with business goals.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.

The Senior Digital Lead - Data & Analytics will manage the Data & Analytics for the Financial aspect of the Shepherd program, leading a high-performing team, ensuring data accuracy, performing analyses, and reporting insights for digital transformation in Pet Nutrition.

The Senior Analyst, Data & Analytics will lead advanced data analytical solutions for the AML Enterprise group. Responsibilities include data interpretation, designing reporting solutions, presenting insights, collaborating with stakeholders, and supporting strategic initiatives in data management and analysis.

The Data Analytics Senior Analyst role involves optimizing data systems, collaborating with teams for data flow management, and leading initiatives on big data ecosystems. The analyst will conduct strategic data analysis to derive insights and ensure data quality, while also coaching new recruits and influencing decision-making across teams.

As a Strategy & Analytics Manager at Mission Lane, you will lead initiatives for new products and optimize underwriting and pricing strategies. You'll analyze customer data to improve acquisition and account management, collaborating with cross-functional teams to enhance profitability and customer satisfaction.

The Senior Analytics Engineer will implement and maintain tag management systems, support digital analytics integration, create actionable insights, and collaborate with teams to ensure high-quality analytics implementations for clients' digital transformations.

The Analytics Engineer at Minitab is responsible for providing customer support, resolving inquiries, improving customer satisfaction, helping with product deployment, and collaborating with various teams. They will capture customer feedback, enhance processes, and represent customer interests across functions.

As an Analytics and Operations Manager, you will analyze and interpret complex datasets using SQL, develop data models, support decision-making with actionable insights, and collaborate across teams to enhance operational efficacy and drive strategy implementation.

The Client Analytics Partner at StackAdapt develops data-driven strategies for clients, analyzes performance metrics, and provides insights to improve campaign outcomes. This role includes collaboration with internal teams, client-facing deliverables, and participation in cross-functional projects while demonstrating strong leadership and technical skills in analytics and data visualization.

The Senior Product Analytics Engineer will lead projects that shape Faire's product features by designing and building data capabilities. They will collaborate with Data Scientists and Engineers to ensure high-quality, scalable data systems that support product launches and drive insights.