Top Data Analytics Jobs in Toronto

As a Senior Product Analytics Engineer at Faire, you will lead projects that support product launches by building and designing data capabilities, collaborating with Data Scientists and Software Engineers. You'll focus on developing scalable data models and pipelines while ensuring data quality and optimization of processes.

The Staff Analytics Engineer will lead data initiatives, collaborate with cross-functional teams, and develop scalable data models and high-performance data pipeline systems. Responsibilities include project leadership, optimization of SQL queries, and defining coding standards to support product features for small and medium businesses.

As a Senior Manager of Analytics at Autodesk, you will develop and execute a data analytics strategy aligning with business objectives, present findings to leadership, and mentor a team of data analysts. You'll leverage data for decision-making, collaborate across teams, and apply innovative analytics methodologies.

The Manager of Advanced Threat Analytics will lead a global team focused on proactive threat intelligence and response initiatives. Responsibilities include overseeing interdepartmental programs, providing tailored services to stakeholders, managing red and purple team exercises, and fostering a collaborative team culture.

As a Manager of Analytics at Klick Health, responsible for providing data-driven insights, developing measurement strategy, and championing new methods for healthcare-focused clients. Must excel in cross-functional collaboration and client interaction.

The Director of Data & Analytics will lead analytics initiatives, develop strategies for data analytics, oversee data-driven project management, and guide the team in data modeling and analysis. The role involves collaboration with cross-functional teams, presenting findings to management, and ensuring data governance and quality.

As a Senior Data Scientist at Tiger Analytics, you will apply your expertise in AI, machine learning, and generative AI to design and build advanced analytics solutions. This role involves collaboration with cross-functional teams to address technical challenges, evaluate and enhance generative AI models, and engineer features from diverse data sources while contributing to the development of best practices in data science.

The Data Science Manager will lead the Pricing and Promotion Optimization team to develop strategies enhancing pricing initiatives. Responsibilities include roadmap development, quarterly planning, team leadership, stakeholder collaboration, and market analysis, while mentoring data scientists and ensuring alignment with business goals.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.

The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.

The Data Architect will design and implement data solutions tailored to complex business needs, focusing on Snowflake architecture. Responsibilities include developing data blueprints, optimizing performance, ensuring data governance, and collaborating with stakeholders for technical specifications and data integration.

As a Data Scientist in Analytics, you will analyze various data sources to provide actionable insights across the employee lifecycle. Responsibilities include translating business needs into data visualizations, building structures for comprehensive data views using SQL, applying quantitative techniques, and maintaining business intelligence tools for People Analytics.

As a People Analyst, you will enhance people analytics capabilities by building data infrastructure, designing dashboards in Google Sheets and Looker, and providing technical support for Workday operations. Your role includes managing employee engagement surveys and ensuring data quality for informed decision-making across the organization.

The Data and Analytics Engagement Lead will oversee operational reporting for the Plan to Fulfil process, collaborating with various teams to harmonize and standardize reporting requirements. Responsibilities include understanding enterprise data models, ensuring data architecture suitability for reporting, and driving consistency in reporting practices across business functions.

The Lead DBT/Analytics Engineer will develop cloud architecture solutions, build data models, design data processes for storage and retrieval, conduct system performance testing, and collaborate with stakeholders across departments to identify future data needs. They will also migrate legacy data to cloud solutions and ensure optimal system performance while maintaining security protocols.

As a Data & Analytics Engagement Lead, you'll develop data strategies and manage data integration across sales and ERP systems like SAP and Salesforce. Your role involves collaborating with business and data owners to define reporting requirements, design data models, and support self-service reporting initiatives. You'll play a crucial part in data-driven decision-making within the organization and engage in data architecture to ensure reporting needs are met.

As an Analytics Lead in Product Insights, you will own the end-to-end analysis of rider experience, engage with cross-functional teams to identify improvements, create dashboards, and conduct A/B testing to enhance the rideshare experience.