Top Data Analytics Jobs in Toronto

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.

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 analytics for Safety & Customer Care by partnering cross-functionally to define metrics, build dashboards, design and analyze A/B tests, monitor KPIs, and deliver data-driven recommendations to improve customer support experience and inform senior leadership.

Lead enterprise data quality strategy by designing frameworks, controls, and scorecards; integrate controls into data pipelines; use AI/ML and Generative AI for anomaly detection and automation; manage end-to-end data issue lifecycle, perform root-cause remediation, assess control effectiveness, support audits/regulatory reviews, and partner with business, technology, risk, and data teams to improve upstream data quality and governance.

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

Serve as the front-line expert helping customers and CSMs unblock technical and strategic issues using the Motion platform and AI agents. Triage Intercom/Slack requests, troubleshoot and reproduce problems, train and improve AI agents, surface product feedback, and build systems to reduce recurring issues. Combine product expertise, creative strategy knowledge, and systems thinking to turn stuck customers into confident users and influence product and docs.

Maintain and optimize data pipelines and models, monitor and resolve data issues, translate stakeholder needs into SQL, build and maintain internal dashboards, support ad-hoc requests, and apply software engineering best practices under senior guidance.

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.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.

Own end-to-end analytics modeling for a business domain: build and maintain dbt models and marts on Snowflake, develop the BI semantic layer, define consistent metrics, create self-serve data products, and partner with Finance, Sales, Marketing, CS, and Data Platform to translate business questions and ensure data quality.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.

Design and deliver scalable analytics solutions by integrating disparate datasets, authoring and optimizing complex SQL, owning semantic layer and reporting, applying software engineering best practices, and partnering with Finance and business stakeholders to produce actionable insights and dashboards.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Design and build end-to-end data solutions and pipelines using modern cloud platforms; ingest, transform, and make data available for BI and downstream consumers. Partner with business stakeholders, implement CI/CD, testing, observability, and documentation, triage performance issues, and support delivery across client engagements.

The GTM Analytics Lead will drive data-driven decisions across marketing, sales, and finance, optimizing performance and ensuring sustainable revenue growth through analysis and real-time insights.

As a Senior Full Stack Software Engineer, you will own product features, design scalable systems, mentor teammates, and ensure coding excellence while collaborating with cross-functional teams.