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Margo Steines Margo Steines
Published on March 04, 2026

11 Top Data Analytics Companies in Toronto

These data analytics companies are supporting growth across Toronto’s business sectors by providing insights into their operations.

Margo Steines Margo Steines
Updated on February 19, 2026

11 Top Business Intelligence Companies in Toronto

Business intelligence companies help clients fully know their sectors and competition.

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Jeff Rumage Jeff Rumage
Updated on May 20, 2026

21 IT Companies in Toronto to Know

Canada’s biggest city has attracted some of the top names in IT.

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Margo Steines Margo Steines
Updated on August 14, 2026

18 Fintech Companies in Toronto to Know

These Toronto fintech companies offer software and services for both businesses and consumers.

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Leads the strategy, roadmap, development, launch, and scaling of Canadian income and employment verification products. Owns product vision, customer discovery, experimentation, user experience, API and data requirements, analytics, pricing, packaging, compliance, and rollout planning. Partners with technology, operations, sales, marketing, legal, data providers, and customer success teams to deliver secure, compliant products and drive continuous improvement through performance metrics and customer insights.
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Manages and grows technology platform and distribution partnerships across Auto, Mortgage, and Financial Services. Responsibilities include executing partnership plans, serving as the primary partner contact, monitoring performance, identifying revenue and adoption opportunities, onboarding new partners, supporting agreement negotiations, and coordinating with sales, marketing, and product teams. The role also develops engagement plans, reports performance, and tracks industry trends.
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Burlington, ON, CAN
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Collect overdue receivables from high-volume and complex accounts, resolve invoice disputes, coordinate collection plans with clients and internal teams, document collection activity, and identify process improvements. The role also coaches less experienced analysts, assists with training, analyzes data to solve complex problems, and manages competing priorities while meeting deadlines.