Top Data Analytics Jobs in Toronto

Manage the Sales Analyst team, develop reporting frameworks, analyze sales data for trends, and provide insights to leadership. Collaborate with teams and ensure data integrity and compliance.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As Senior Manager of Risk Analytics, you will lead a team, shape strategy, drive insights, and enhance risk management through data analytics.

The Account Executive will manage and expand client portfolios, identify new business opportunities, conduct product demos, and oversee the entire sales process in commercial real estate.

Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

Lead marketing analytics and insights by partnering with stakeholders to define questions, analyze multi-channel data, design dashboards, introduce KPIs and measurement approaches, and optimize channel investment and campaign effectiveness using tools like SQL, GA4, Snowflake, and Tableau.

Consult with clients to design, build, and implement AI and machine learning solutions. Perform exploratory data analysis, feature engineering, model development and evaluation, data pipeline and visualization development, and contribute to documentation, testing, and cross-functional delivery for generative AI and analytics projects.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

Lead the Strategic Analytics team to develop strategies, generate data insights, support long-range planning, and provide analytics-driven recommendations to senior management.

The Research and Analytics Manager analyzes financial data, develops marketing content, builds relationships, and supports analytics systems for investment marketing initiatives.

As an Analytics Engineer, you will design ETL pipelines, build data models, and collaborate with product teams to enhance data accessibility and analytics across the company.

Oversee business development and account growth for strategic accounts, focusing on top pharmaceutical and medical device clients while exceeding revenue targets.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

Support sales by collecting, analyzing, and reporting advisor and sales data. Build dashboards and regular performance reports, ensure data quality with engineering, deliver ad hoc analyses, and provide actionable insights to optimize advisor engagement and sales performance.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

Develop and implement advanced analytics models for assortment optimization and inventory management. Build predictive models and work with large datasets to improve efficiency. Collaborate with teams and communicate insights effectively.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

Design, build, and optimize product-facing data models and large-scale ELT/ETL pipelines in BigQuery and Apache Pinot. Integrate disparate sources, validate data at terabyte scale, ensure pipeline reliability and performance, implement data governance and CI/CD, and collaborate with product and engineering teams while mentoring junior members.

Design, build, and optimize product-facing data models and large-scale ELT/ETL pipelines in BigQuery. Integrate disparate sources, ensure data validation and CI/CD, optimize query performance at multi-terabyte scale, and collaborate with product and engineering teams while mentoring juniors.

As a Senior Financial Strategy & Analytics Analyst, you will automate financial reporting, build data models, support executive teams, and conduct econometric analysis to inform business strategy.

The Senior Analytics Engineer will lead the development and optimization of the data platform, implementing Medallion architecture and collaborating with cross-functional teams to create scalable data solutions.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

Partner with Marketing stakeholders to frame questions, build and maintain Tableau dashboards, perform deep-dive analyses and predictive models, deliver actionable insights, and improve measurement frameworks to drive marketing performance and pipeline.