Top Data Analytics Jobs in Toronto

Lead analytics consulting engagements by translating business objectives into analytical roadmaps, defining and governing KPIs, assessing data quality, and conducting hands-on data exploration with SQL and Python. Partner with stakeholders and Power BI developers to design metric structures, semantic models, wireframes, and dashboards that support strategic decision-making.

Lead product strategy for consumer credit, underwriting, merchant pricing, and loan economics. Define features, specs, and metrics; partner with engineering, analytics, design, commercial, legal, and capital to launch and scale products across channels and geographies.

Develop advanced statistical models and custom analyses to address client business challenges. Use R, Tableau, SAS, Visual Basic, Excel, and other analytic tools to guide decisions, create deliverables, and implement solutions. Communicate findings through presentations, manage client relationships, provide project updates, and mentor Associates while contributing to consulting engagements.

Oversee legal matter pricing, budgeting, financial analysis, profitability monitoring, and engagement data integrity. Develop pricing strategies, budget templates, fee proposals, dashboards, and monthly reporting while managing a pricing team. Partner with firm leadership, practice management, billing, business development, and financial analysis teams to support client RFPs, forecasts, and sustainable matter results. Research legal and consulting industry trends, including AI's impact on professional services pricing.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Owns ecommerce analytics and measurement strategy for holtrenfrew.com, using customer, website, product, search, and financial data to identify growth opportunities. Leads KPI governance, funnel analysis, dashboarding, data quality, conversion-rate optimization, experimentation, SEO, product discovery, and AI-powered search initiatives. Partners cross-functionally to translate complex analysis into actionable recommendations for senior leadership and improve traffic, conversion, revenue, and customer experience.

Prepare financial reports, dashboards, and analytics for North American and consolidated operations. Analyze Order-to-Cash performance, working capital, trends, risks, and opportunities; support monthly and quarterly close, variance analysis, audits, SOX controls, and public-company reporting. Partner with OTC, Finance, Accounting, FP&A, IT, and business teams to improve reporting, visualization, automation, and decision-making.

Leads global sales operations and analytics, including performance dashboards, quota and incentive design, market sizing, target account planning, CRM governance, resource allocation, and executive business reviews. Partners with Finance, HR, and field acquisition teams to improve pipeline performance, data quality, commissions, and expansion-market execution.

Leads credit underwriting and valuation analysis, develops and tests strategies, and presents recommendations to senior leadership. Oversees complex analytical work, guides junior analysts, establishes team roadmaps, and monitors strategy performance. Uses SQL, Python, spreadsheets, Tableau, and QuickSight to analyze data and automate reporting. The role includes developing a high-performing analyst team and is expected to evolve into people leadership.

Lead instrument risk modelling for derivatives, hedge funds, liabilities and other securities. Build tools, validate models, collaborate with traders, finance and developers, and deliver risk reporting and advanced risk-management approaches.

The Account Director will manage client relationships, oversee strategic planning, and ensure seamless integration of marketing efforts across the agency's travel accounts, focusing on digital marketing and performance outcomes.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Own the AI-enabled Customer Care analytics architecture and roadmap while personally analyzing data to guide product and operational decisions. Build BigQuery-based AI workflows, reusable metric layers, dashboards, reports, and anomaly detection capabilities. Translate complex data into actionable narratives, improve data trust, support ROI modeling, and facilitate analytical discussions with Product, Operations, Data Science, Engineering, and senior leadership.

Leads complex consulting and analytics projects for pharmaceutical, biotechnology, life sciences, healthcare, and government clients. Responsibilities include managing multidisciplinary teams, conducting qualitative and quantitative analyses, developing strategic recommendations, presenting client deliverables, mentoring junior staff, managing senior client relationships, and identifying follow-on business opportunities. The role requires expertise in life sciences consulting, large datasets, project management, business analytics, and pharmaceutical market trends.

Leads the conversion rate optimization practice for Shopify ecommerce clients. Uses funnel, cohort, segmentation, statistical, and behavioral analysis to develop experimentation roadmaps, execute A/B and multivariate tests, and deliver revenue-focused recommendations. Owns GA4, Shopify, BigQuery, SQL, Looker dashboards, analytics integrity, reporting, ROI and growth modeling, personalization, and AI-enabled experimentation. Partners with UX, design, and development teams, presents findings to clients, oversees contractors, and manages multiple engagements.

Own the analytics roadmap, data platform, semantic models, customer-facing analytics, and AI-native analytics agents. Partner with cross-functional leaders to establish trusted metrics, improve operational and patient-access insights, and deliver data products that drive measurable outcomes. Strengthen dbt and Snowflake foundations, create governed self-service workflows, and provide technical mentorship as the analytics function grows.

Manage, design, deploy, optimize, and scale persistent and transient AWS EMR clusters for batch data processing. Automate infrastructure with CloudFormation, Terraform, and CodePipeline; administer EC2, S3, and related AWS services; monitor pipelines; troubleshoot performance issues; and maintain security, patching, access controls, and cluster configurations. Preferred experience includes Hadoop, HDFS, AWS EKS, containerized workloads, and Kerberos.

Maintains and validates performance, attribution, and risk analytics across systems; investigates data-quality exceptions; manages scheduled analytics processes; improves automation and scalability; strengthens analytics governance and controls; identifies and mitigates process risks; and serves as an analytics subject-matter expert and escalation point.

Manage the analytics production pipeline from data ingestion through calculation and distribution. Develop scalable investment analytics solutions covering performance, attribution, risk, exposure, and investment models. Maintain dashboards and semantic layers supporting natural language queries, enhance proprietary and third-party analytics tools, resolve complex methodology issues, and improve workflows. Translate technical concepts for investment stakeholders while identifying process risks and implementing technology-driven efficiencies.

Build and maintain Warp’s analytics infrastructure, canonical data models, ETL and reverse-ETL pipelines, data quality systems, and self-service analytics tools. Define product and business metrics, analyze experiments, support pricing and revenue analytics, and conduct research into user behavior, growth, engagement, and churn. The role partners broadly across product, engineering, growth, revenue, and go-to-market teams while incorporating AI agents into data workflows.

Leads marketing analytics strategy across North America by building data flows, ETL processes, reporting pipelines, dashboards, and standardized metrics. Evaluates campaigns through advanced analytics and A/B testing, translates business requirements into technical specifications, and delivers strategic insights to executive, marketing, engineering, and finance leaders. The role also manages analytics requests and drives operational efficiency through cross-functional collaboration.

Lead design and delivery of Morgan Stanley Wealth Management Canadas insurance platform: build strategy, governance, advisor enablement, vendor relationships, compliance frameworks, operating model, and analytics to scale insurance distribution across wealth channels.

Leads client analytics engagements, owns analytics roadmaps, manages project scope and quality, and presents actionable insights to senior stakeholders. Develops advanced models including customer lifetime value, segmentation, propensity, forecasting, and attribution. Manages and mentors analysts and consultants, supports business development and account growth, and oversees reporting, performance monitoring, resourcing, and utilization.

Leads FanDuel Canada's Sportsbook brand strategy, creative direction, integrated campaigns, media and brand partnerships, organic social content, and marketing innovation. Builds measurement frameworks, translates consumer insights into actionable strategies, manages agencies and external partners, and coaches a high-performing Brand and Content team. Collaborates cross-functionally with Product, Media, Commercial, CRM, Legal, Communications, Creative, and Analytics teams to strengthen brand affinity, acquisition, retention, and commercial performance.

Lead product positioning, go-to-market strategy, launch planning, and enablement for Loadlink’s SaaS products. Partner cross-functionally with Product, Sales, Marketing, and Customer Success to create messaging, sales tools, customer narratives, and campaigns. Build a scalable product marketing practice, measure launch performance, and translate complex product capabilities into compelling value propositions. The role focuses on B2B SaaS or marketplace products, with logistics or freight technology experience preferred.