Top Tech Jobs & Startup Jobs in Toronto

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.

The Mobile Mortgage Specialist is responsible for developing customer relationships, generating mortgage sales, and maintaining a strong sales presence in a competitive market.

The Mortgage Mobile Specialist role involves developing customer relationships, achieving sales targets in mortgage lending, and working independently in a fast-paced environment. Candidates will receive comprehensive training and support to succeed in generating referrals and managing sales activities.

The role involves data engineering functions like data modeling, quality, profiling, ETL, and supporting partners in data management activities while ensuring compliance with enterprise standards.

The Mobile Mortgage Specialist will develop customer relationships, focus on business development, and achieve sales goals while working with a flexible schedule and receiving sales training.

The role involves test planning, automation, and execution while supporting continuous integration practices to ensure software quality. Collaboration with development teams to define user stories and utilize DevOps tools is essential.

The Data Designer III role involves data engineering, managing data pipelines, communicating with stakeholders, leading data governance, and ensuring quality data management practices.

The Customer Experience Associate processes financial transactions, recommends banking solutions, resolves customer issues, and promotes positive customer experiences.

The Strategic Sourcing Manager II role involves managing sourcing strategies, supplier negotiations, ensuring compliance with sourcing policies, and fostering relationships with business partners to optimize operations in support of the Payments portfolio.

As a Data Designer II, you will guide data management initiatives, implement data quality processes, support data lifecycle, and collaborate with business and technology teams for effective data solutions.