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.

Lead analytics strategy for C2C M&A integrations, driving product analytics, experimentation, metric standards, AI-enabled prototypes, and cross-functional data solutions to improve seller outcomes and business performance.

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

Lead product strategy and roadmap for multimodal search to drive growth. Define AI-driven features, collaborate with engineering, data science, design, and analytics to build MVPs, run A/B tests, iterate quickly, and measure impact on discovery, personalization, and user engagement.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

The Founding Account Executive will build and maintain a pipeline of mid-market or enterprise clients, managing deals end-to-end, leading proof-of-value motions, and defining sales strategies for growth.

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 product strategy and roadmap for eBay Search, driving growth through AI-driven features. Partner with engineering, design, data science, and analytics to build MVPs, run A/B tests, iterate quickly, and measure impact to improve discovery, personalization, and user experience.

Leads Claims Data & Analytics strategy, identifying trends, interpreting claims results, and developing tools and models to improve operational efficiency and indemnity control. Advises senior executives through quantitative analysis and recommendations, manages resources and strategic initiatives, and oversees approximately 15 analysts through three direct reports. The role also drives talent development, stakeholder engagement, organizational capability building, and collaboration across business units and countries.

Drive data-informed decisions across carrier growth, product launches, user acquisition, and partnerships. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify scalable growth levers; conduct complex analyses using machine learning models; and automate manual processes to improve operational efficiency.

Lead end-to-end solution design and architecture for Sales Cloud, Service Cloud, and Agentforce implementations. Translate sales and service requirements into scalable Salesforce solutions, define automation and AI use cases, oversee integrations, and drive governance, adoption, and measurable business outcomes while mentoring delivery teams and facilitating stakeholder workshops.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; make recommendations; and drive decisions through execution. The role requires independently structuring ambiguous problems, using SQL or Python, communicating findings clearly, influencing senior stakeholders, and delivering measurable business impact.

The Business Operations Associate will drive data-informed decisions across growth, product, and business initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying profitable acquisition and partnership opportunities, leveraging machine learning models for insights, and automating manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates findings to stakeholders ranging from frontline employees to executives.

Own the end-to-end analytics function for a business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and recommend actions that improve key outcomes. Partner with product, growth, finance, and operations leaders to influence decisions and drive execution. The role requires first-principles problem solving, strong analytical skills, independent data work, clear communication, and ownership of ambiguous initiatives.

Lead data-driven business operations and analytics initiatives across acquisition, partnerships, and product growth. Design and analyze A/B experiments, use machine learning and SQL for complex analyses, identify scalable growth levers, inform strategic decisions, and automate manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates insights from frontline teams to the C-suite.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; generate actionable insights; and drive recommendations and decisions with cross-functional stakeholders. The role requires independently structuring data, solving ambiguous problems, communicating findings clearly, and delivering measurable business impact.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional stakeholders. The role requires strong first-principles thinking, independent data work, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Drive data-informed decisions across growth, product, and business initiatives. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify acquisition and partnership growth levers; use advanced machine learning models for business analysis; and automate manual processes to improve operational efficiency. Communicate insights and recommendations to stakeholders ranging from frontline employees to executives.

Design, build, and support data integrations between PeopleSoft/Oracle Fusion and legacy systems (Workday, Veradigm, Meperia). Map and convert legacy data, develop ETL with ODI/SSIS, use PS Query and PL/SQL for transformations, provide Level 2/3 integration support, troubleshoot issues, and collaborate with stakeholders.

As a Staff Analytics Engineer, you will design self-serve BI solutions, optimize analytical infrastructure, and collaborate with stakeholders to enhance data accessibility and decision-making.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

Lead Internal Audit Analytics & AI strategy; integrate analytics and AI across the audit lifecycle; develop scalable analytics, automation and responsible AI solutions; manage and mentor an analytics team; provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools; partner with audit and business stakeholders and present insights to senior management.

Lead design and implementation of Sentry's Events Analytics Platform, improving search and storage performance at petabyte scale. Architect and automate scalable services, make trade-offs, review code, collaborate with Product and Engineering, and improve maintainability and developer experience.

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

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.