Top Data Analytics Jobs in Toronto

The specialist provides operational support and analytics in the investment fund industry, improving client experience and ensuring compliance with regulations.

The Director of Product Operations & Analytics leads product strategy and execution, driving operational excellence and data-driven decisions. They oversee pricing governance, build an analytics framework, ensure alignment across departments, and mentor team members in a B2B FinTech environment.

Manage marketing campaign scorecards, analyze digital initiatives, and optimize promotional strategies to enhance engagement and ROI.

The role involves managing consumer credit risk reporting and analytics, conducting data analyses, developing reporting frameworks, and ensuring accurate and efficient reporting solutions for risk management and regulatory compliance.

The Associate Solutions Architect will design and integrate global tax and treasury technology solutions, working closely with architects and finance stakeholders to ensure compliance and efficiency in tax operations.

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.

The Director of Pricing & Analytics will lead a team to improve Priceline's pricing strategy, partner with various teams, and implement analytical solutions to ensure competitive pricing in the travel industry.

The Technical Project Manager will coordinate and maintain delivery across complex workstreams in Martech & Analytics, ensuring clarity, momentum, and operational excellence.

The Customer Success Manager will educate clients on creative strategy, build relationships, and help maximize their use of Motion's platform through engagement and tailored support.

The Director oversees outsourced business services at 3M, ensuring performance, governance, and alignment with Global Business Services while driving efficiency and continuous improvement in BPO operations.

The Manager – Analytics & Reporting will lead the enhancement of data visualization and analytics for business decisions, developing reporting tools and AI solutions. Responsibilities include dashboard design, data analysis, and collaboration with stakeholders on improved analytics solutions.

The Commercial Analyst will develop sales forecast models, analyze financial performance, conduct variance analysis, and partner with Finance for planning processes to enhance business performance.

The Senior Product Manager will define the product strategy for analytics and insights, drive data initiatives, and collaborate with cross-functional teams to align product development with business needs.

The Senior Manager, Personal Lending Analytics will lead analytics engagements to evaluate client behaviors and optimize business decisions using AI and Machine Learning solutions, presenting insights to senior leaders to drive business growth.

The Account Manager will drive customer engagement, develop strategies, collaborate with teams, and achieve revenue goals while ensuring customer satisfaction.

The Senior Cloud Database Administrator will manage cloud-based databases for a mission-critical IVR and analytics platform, ensuring high availability, performance, security, and reliability in a production environment.

The Product Analyst will oversee product analytics, collaborate with teams, define metrics, build dashboards, and improve data quality in a hybrid work environment.

The Director of AEO/SEO will develop and oversee Quo's content and SEO strategy to enhance brand visibility, drive organic customer acquisition, and measure success across various channels.

The Enterprise Account Executive will drive new business and expand relationships within large enterprise accounts, focusing on closing multi-million dollar deals, delivering ARR targets, and collaborating with internal partners to ensure customer success.

Design and maintain dbt-based ELT pipelines and dimensional models, build Python extractors, optimize BI semantic layer (Looker/Metabase), implement CI/CD, automated tests, and data quality monitoring for logistics data.

The Senior Analyst of CS Strategy and Analytics role involves analyzing revenue performance and supporting strategic initiatives, focusing on analytics within Customer Success and operational strategy.

The intern will develop and maintain ETL pipelines, create technical documentation, and support credit risk programs under the Director of Credit Risk Infrastructure.

The Product Analytics Manager will lead analytical initiatives to enhance product capabilities and user experience through data-driven insights, experiment design, and collaboration with various teams to support product decisions.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.