Top Data Analytics Jobs in Toronto

Lead the Product Analytics Team and establish an analytics roadmap supporting loyalty-program growth, engagement, retention, and profitability. Analyze customer behavior, design experiments and A/B tests, develop tracking frameworks, and deliver executive-ready insights. Influence product strategy, investment decisions, and business priorities while partnering with Product, Marketing, Finance, and executive stakeholders. Coach analytics staff and promote data-driven decision-making across the organization.

Deliver advanced analytics, scalable ETL/ELT pipelines, Power BI semantic models, datasets, and dashboards for banking stakeholders. Translate complex data into actionable insights, monitor campaign performance, support data modernization, uphold engineering standards, and advise business leaders on data-driven decisions.

Leads client, investment, and sustainability reporting data across the organization. Oversees reporting governance, data quality, reconciliations, analytics, ESG reporting, process improvement, automation, and cross-functional stakeholder requirements. The role partners with investment, operations, technology, compliance, and client-facing teams, resolves data issues, develops scalable controls, and mentors analysts while supporting accurate, timely, and compliant reporting.

Develop and lead portfolio analytics for the Global Credit investment team. Build reliable data pipelines, quantitative models, AI-powered analytical products, and investment tools. Own end-to-end product delivery, ensure data quality, optimize technology infrastructure, translate business requirements into solutions, and communicate technical insights to portfolio managers and other investment stakeholders.

Drive revenue by selling Splunk to large enterprise accounts. Build pipeline, close license/support/service deals, expand relationships, orchestrate complex multi-stakeholder deals, leverage partners and channels, and provide cross-functional feedback to support growth.

Lead pricing analytics for international market expansion: define pricing strategy, structure platform deals, perform economic analyses, run experiments, monitor and iterate pricing and offerings, and partner with cross-functional teams (Product, Credit, Finance, Engineering, Strategic Partnerships).

Lead end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

Partner with sales to gather customer requirements, design and demo Upshop SaaS retail solutions, scope SOWs, draft deliverables, lead discovery sessions, provide SME guidance, maintain demo environments, and hand off to project and customer success teams. Act as trusted advisor to executives, develop future-state roadmaps, reduce implementation risk, and support sales events and trade shows. Travel up to 30%.

Owns marketing analytics measurement across campaigns, channels, attribution, funnel performance, and pipeline forecasting. Builds dashboards, attribution models, AI-powered scoring and insight tools, and executive-level analyses to guide marketing investment. Partners with Marketing Operations, Demand Generation, Events, Sales Operations, Finance, Security, Legal, and Data Engineering. Oversees marketing data quality, develops responsible AI practices, mentors analysts, and supports planning, budgeting, and ROI decisions.

Execute, optimize, and analyze multichannel B2B digital demand-generation campaigns across paid, organic, search, CRM, and programmatic channels. Manage campaign setup, targeting, tracking, governance, reporting, and agency coordination. Analyze metrics such as MQLs, MQAs, CPL, conversion efficiency, influenced pipeline, and ROI, translating findings into optimization recommendations and actionable business insights.

Manages stress testing analytics, enterprise reporting, and risk data initiatives. Aggregates, maps, reconciles, validates, and analyzes large datasets; consolidates model results; applies analytical adjustments; and transforms complex outputs into visualizations and presentations for senior stakeholders. The role supports credit risk, loss forecasting, lending products, and stress testing while using Power BI, Excel, and PowerPoint, with potential Python, SQL, and SAS applications. It also provides analytical support, recommendations, and data-driven insights across technical and business teams.

Supports the design, optimization, and performance analysis of AML, sanctions, and anti-terrorist financing screening models. Responsibilities include analyzing large datasets, assessing data quality, developing documentation, identifying patterns and anomalies, extracting and transforming data, researching financial crime prevention practices, and collaborating with compliance and technology teams in an agile environment.

The Sales Associate will develop business by engaging clients, providing digital marketing solutions, managing relationships, and exceeding sales targets.

Evaluates credit risk strategies, analyzes acquisition performance, develops business cases for scorecard and rule changes, creates leadership dashboards, and provides recommendations supporting profitable lending growth and risk management. Partners with stakeholders to identify opportunities, reduce exposure, monitor portfolio trends, and respond to changing market conditions.

Build LanceDB’s revenue marketing function and enterprise demand engine from the ground up. Own account-based marketing strategy, segmentation, campaigns, content, account planning, martech implementation, pipeline reporting, and partner co-marketing. Identify high-intent accounts through open-source and product-usage signals, create tailored omnichannel programs, and collaborate closely with founders, Sales, RevOps, and Partners to source and influence enterprise pipeline.

Leads global commercial growth for software, analytics, and digital services. Owns ARR, bookings, pipeline, enterprise acquisition, complex SaaS sales, channel partnerships, pricing, contracts, and pilot-to-subscription conversion. Builds scalable sales processes, forecasting discipline, partner ecosystems, and executive customer relationships across utilities, energy, industrial, manufacturing, and data center markets. Requires extensive enterprise solution sales, subscription software, global channel development, and commercial growth experience, with 30–40% domestic and international travel.

Lead executive interviews, stakeholder workshops, and current-state assessments to identify operational gaps and opportunities. Develop business cases, operating models, governance, KPIs, roadmaps, and practical AI-enabled solutions. Advise on AI strategy, innovation, commercialization, customer experience, and change management. Support transition of recommendations to delivery teams and occasionally participate in business development.

Lead social-first strategy and execution for Walrus Foundation: manage daily social channels, plan campaigns and launches, run social listening, grow YouTube, coordinate KOLs/creators, support executive communications, activate events, and collaborate across marketing, product, and comms to deliver integrated campaigns.

Lead the development and execution of customer-centric strategies for Collections and Recoveries programs, balancing loss prevention with customer experience. Oversee a team of analysts, collaborate with cross-functional partners, and influence senior leaders with data-driven insights.

Two-year rotational program for recent graduates in actuarial science and advanced analytics within property and casualty insurance. Participants rotate through analytics, business intelligence, actuarial, pricing, and commercial insurance teams. Responsibilities include preparing and analyzing data, applying statistical and modeling techniques, producing performance exhibits, communicating analytical insights, and responding to stakeholder requests under senior guidance.

Analyze large datasets to identify money-laundering and terrorist-financing patterns, improve AML detection and risk-scoring models, minimize false positives, build dashboards, and communicate trends and performance to AML leadership. The role partners with product, technology, and compliance teams to support data-driven financial crime prevention decisions.

Leads commercial analytics and controls across sales, pricing, contracts, and sales operations. Develops dashboards, forecasts, reporting, monitoring tools, business rules, and governance processes. Analyzes pricing, contract, margin, profitability, and revenue risks, identifying discrepancies, leakage, recovery opportunities, and performance gaps. Partners with stakeholders to improve pricing effectiveness, data integrity, compliance, automation, operational efficiency, and profitable growth.

Build and refine risk, valuation, cash-flow, profitability, and time-series forecasting models for consumer credit and fraud losses. Automate recurring loss forecasts and supporting analysis for executive and senior management. Translate economic and customer behavior data into explainable predictions, improve data pipelines and automation, partner with cross-functional stakeholders, document analytical tools and processes, and contribute to risk analytics and data science initiatives.

Lead analytics for Lyft’s airport marketplace by analyzing pricing, earnings, supply, cancellations, ride modes, and airport performance. Develop metrics, dashboards, models, reporting, and reusable analytical frameworks to identify growth and efficiency opportunities. Partner with product, engineering, marketing, design, and operations teams to turn insights into product decisions, and present recommendations and results to senior leadership and cross-functional stakeholders.

Leads Autodesk’s enterprise GTM revenue analytics foundation, including KPI governance, semantic data models, reporting standards, dashboards, and executive insights. Partners with data, systems, finance, sales, marketing, and customer success teams to improve revenue decision-making. Defines AI-enabled analytics use cases and roadmap while ensuring scalable, secure, governed solutions. Serves as a technical and analytical leader, influencing cross-functional priorities and mentoring team members.