Job Title

Web & Product Data Analyst12-Month Contract | Hybrid in Toronto, ONOne of North Americas most recognized financial technology companies is seeking two experienced Data Analysts to join their Digital & Analytics teams on a one-year contract. These hybrid roles are based in downtown Toronto and require a strong mix of technical capability, business acumen, and stakeholder communication. Candidates must be located in the Greater Toronto Area and able to commute onsite as required.Two roles are availableone focused on predictive analytics and modeling, and the other on in-product reporting and performance analysis. Both roles involve end-to-end ownership of data-driven business questions, working cross-functionally with product, marketing, engineering, and analytics partners to shape decisions with insights.Key Responsibilities:Role 1 Forecasting & Predictive Analytics:Design and build statistical models (e.g., forecasting, LTV, media mix) to solve business problems at web-scaleAnalyze performance trends and consumer behavior to inform marketing strategyPartner with stakeholders to translate broad business questions into structured analyses and recommendationsVisualize and communicate findings to technical and non-technical stakeholdersRole 2 In-Product Analytics:Define success metrics and track KPIs for new digital features and in-product experiencesMonitor funnel performance, product abandonment, and seasonal usage patternsBuild interactive dashboards to visualize feature engagement and conversion trendsCollaborate with product and engineering teams to instrument tracking requirementsRequired Skills & Experience:5+ years of experience in digital analytics, product analytics, or related data fieldsAdvanced SQL, Tableau, and Excel proficiency; strong Python skills requiredProven success with A/B testing, funnel analysis, attribution modeling, and cohort/LTV analysisStrong understanding of data instrumentation and event tracking in web applicationsAbility to structure ambiguous problems into clear analytical plans and actionable insightsExperience building and maintaining stakeholder relationships across product, engineering, and marketingExcellent storytelling skills and comfort presenting to business and technical audiencesBachelors required; MS in Statistics, Mathematics, Computer Science, Economics, or related field preferred