Top Tech Jobs & Startup Jobs in Toronto

Lead and execute risk-based internal audits across technology and business domains, perform risk assessments, support ERM, collaborate with stakeholders, drive remediation, and champion data analytics, automation, and continuous improvement.

Lead and mentor a data science team to enhance the Rider App experience through machine learning, analytics, and experimentation. Partner with stakeholders to drive data-driven decisions and innovation.

The analyst will identify opportunities in Lyft's top regions, influencing strategies and improving marketplace performance through data analysis and collaboration with teams.

Lead cross-functional loyalty product initiatives from ideation through launch and post-launch. Drive program planning, dependency management, KPI ownership, risk mitigation, and stakeholder communications. Partner with engineering, product, data science, design, analytics, and operations to deliver iterative features that increase rider retention and lifetime value, including regulatory and compliance-driven efforts.

Lead design and implementation of AI-driven data analytics platforms and pipelines for Lyft's Marketplace. Define architecture and roadmap, build backend microservices and APIs, drive AI innovation (agentic workflows, model evaluation, causal models, anomaly detection), collaborate with product and data teams, resolve incidents, and mentor engineers to improve business operations and metrics governance.

Lead end-to-end product design for driver earnings, payments, and identity verification. Collaborate with PMs, engineers, and data scientists to research, prototype, and deliver secure, user-centered experiences that reduce friction and prevent fraud.

Lead forecasting and variance analysis for salary and equity/SBC, support monthly close and headcount forecasting, maintain Anaplan modules, partner with Total Rewards, Payroll Accounting, and People on data integrity, and produce reporting and ad hoc analysis for leadership and earnings while driving process automation improvements.

Manage execution of airport-focused programs and product configurations, support compliance workflows, assist launches and QA, monitor performance with analytics, own assigned projects end-to-end, troubleshoot issues, and drive process improvements in coordination with Engineering, Product, and cross-functional partners.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

As a Business Systems Engineer, you'll support Lyft's corporate systems, managing performance, implementing monitoring tools, and developing solutions for business stakeholders in financials and supply chain.