Top Data Analytics Jobs in Toronto

The Senior Consultant, Analytics will lead fraud analytics initiatives, develop solutions for fraud loss mitigation, and optimize BI reporting.

This role involves leading client analytics projects, collaborating with stakeholders, and developing analytical solutions while mentoring team members in a fast-paced environment.

The role involves leading data engineering projects, building scalable data models, optimizing workflows, and ensuring data quality while collaborating with cross-functional teams.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

Lead and manage the Applied AI and Analytics team to create production-grade AI features and analytics infrastructure, driving business outcomes through data and ML solutions.

The Senior Analyst, Growth Analytics (CRM) will own CRM analytics strategy, build measurement frameworks, analyze experiments, track performance, and present insights to leadership to optimize customer retention and lifetime value.

The Senior Analytics Developer leads the development of data pipelines, transformations, and models in a data lake, collaborating with stakeholders to create data solutions and ensuring data accuracy.

The Product Manager for Analytics will oversee the vision for analytics and reporting products, bridging customer needs with engineering while driving innovation in AI analytics and enhancing user experience.

Emburse seeks a Software Engineer in Test III specializing in data analytics to design, implement, and maintain data testing frameworks and validate analytical outputs in cloud data systems, using SQL and Python.

The Associate will design technology solutions for investment decision-making, maintain data infrastructure, and provide advanced analytics for investment lifecycle support.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The Director of Data Analytics will lead the analytics team, develop data strategies, improve data quality, and drive insights for product innovation at KEV.

Lead a team of analysts to deliver data insights that enhance partner performance and member engagement, while driving strategic analytics initiatives and fostering collaboration across teams.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

As a Lead Data Analyst for Marketing Analytics, you will develop measurement frameworks for SEO and LLM, create insights across the organic marketing funnel, analyze customer journeys using SQL and Python, and present findings to leadership to optimize growth strategies.

The Director of Marketing Analytics will provide insights and consultative support, leveraging expertise in marketing analytics to drive business results for clients. Responsibilities include data analysis, reporting, and stakeholder presentations, with a focus on campaign performance and optimization.

As a Senior Software Engineer at Camunda, you'll build high-throughput analytics products, improve performance in distributed systems, and create robust backend APIs with collaborative development.

The Analytics Engineer designs and builds data pipelines and analytics solutions, enabling data-driven decisions with a focus on reporting and dashboards.

The Manager, Advanced Analytics oversees the validation of financial models for Trading Surveillance, ensuring compliance and efficiency while leading a team of validators. Responsibilities include conducting analyses, communicating with stakeholders, and developing validation standards.

The Staff Analytics Engineer will define analytics architecture for Lime for Business, design data warehouse systems, partner across departments, and drive data governance and quality.

Design, build, and maintain data models and end-to-end pipelines (dbt, SQL). Ensure data quality, optimize queries, and collaborate with analysts to deliver consistent product analytics and dashboards.

Develop scalable micro-services in Go, work with large datasets across various databases, and utilize data lakehouse and real-time analytics technologies for efficient data processing.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.