Top Data Analytics Jobs in Toronto

Develops customer and advisor segmentation frameworks, profiling analyses, dashboards, and strategic insights for Manulife Bank. The role identifies growth, retention, cross-sell, and productivity opportunities; translates complex analytics into executive recommendations; supports value proposition, personalization, and channel strategies; and partners with Product, Distribution, Marketing, Risk, and Compliance while maintaining data governance and regulatory standards.

Supports risk, regulatory, and management reporting through data analysis, dashboards, and reporting solutions. Analyzes risk metrics, trends, exposures, and data sources to provide insights and recommendations. Maintains key risk indicators, governance controls, reporting processes, and audit support. Collaborates with stakeholders and data owners while using SQL, Python, Power BI, and advanced Excel to deliver accurate and timely reporting.

Leads UPP’s enterprise data strategy and capabilities, including governance, quality, engineering, integration, operations, metadata, analytics enablement, and cloud data platforms. Builds and manages a high-performing data team, establishes standards and roadmaps, improves data reliability and discoverability, and partners with business, technology, cybersecurity, architecture, privacy, and AI teams. The role supports trusted reporting, automation, and responsible AI while enabling business users to work with data safely and effectively.

Leads enterprise stress-testing aggregation, regulatory reporting, data governance, reconciliations, controls, and analytics modernization. Translates regulatory and business requirements into mappings, data specifications, test cases, controls, and reporting solutions. Uses Python, SQL, Databricks, and Power BI to automate analysis, validate transformations, build governed datasets, and support parallel testing. Coordinates cross-functional delivery, investigates issues, maintains audit-ready evidence, and communicates risks and decisions to senior stakeholders.

Develops advanced fraud analytics and machine learning solutions using large structured and unstructured datasets. Builds predictive models, identifies patterns and trends, evaluates AI/ML feasibility, and provides data-driven recommendations to business leaders. Partners with product and analytics teams on planning and roadmaps, delivers technical and analytical support, and applies risk management principles to protect the bank.

Manage relationships with enterprise customers, serving as the primary liaison and driving retention, renewals, pricing discussions, revenue growth, forecasting, and upsell opportunities. Develop strategic account plans, conduct executive-level quarterly business reviews, analyze account performance, and collaborate with internal teams to deliver strong customer outcomes. The role requires regular customer-site travel, Salesforce use, and enterprise account management experience.

Leads advanced statistical modeling and analytics using retail, customer, and loyalty data. Develops forecasting, causal inference, experimentation, predictive modeling, segmentation, optimization, and statistical learning solutions. Partners with senior leaders to improve customer growth, retention, promotions, and financial performance. Establishes model validation and monitoring standards, translates quantitative findings into recommendations, and coaches analysts and data scientists while guiding modeling and experimentation strategy.

Lead wind energy assessments and performance analyses for utility-scale renewable projects. Analyze SCADA, meteorological, geospatial, and operational datasets; develop Python, MATLAB, or R tools and automated workflows; evaluate energy production, uncertainty, losses, and risks; provide technical consulting, peer review, customer support, and mentoring; and advance AI, data management, visualization, and analytical methodologies.

Leads advanced statistical modeling and analytics using retail, customer, and loyalty data. Develops forecasting, causal inference, experimentation, predictive modeling, segmentation, optimization, and statistical learning solutions. Partners with senior leaders to drive customer growth, retention, promotional effectiveness, and financial performance. Establishes model validation and monitoring standards, translates complex analyses into recommendations, and coaches analysts and data scientists while maintaining technical oversight.

Designs, develops, deploys, and supports enterprise reporting and analytics solutions using Power BI. Builds scalable data and semantic models, transformation processes, visualizations, and reporting architectures. Translates business needs into actionable insights, improves data quality and reporting processes, supports production analytics, and provides stakeholder consulting and training. Develops self-service analytics capabilities, documentation, and user guides while diagnosing issues and coordinating technical resolutions.

Own analytical workstreams supporting strategic and operational decisions. Partner with stakeholders to define questions, conduct exploratory and quantitative analyses, evaluate initiatives, develop metrics and dashboards, and translate findings into actionable recommendations. The role uses SQL, Tableau, Python, experimentation, segmentation, cohort analysis, scenario analysis, and impact measurement while collaborating across Analytics, Business Intelligence, Analytics Engineering, and Data Science.

Supports data strategy and analytics for clinical, operational, and real-world healthcare data in Roche Product Development. Responsibilities include cohort extraction, data transformation, observational analysis, reproducible pipeline development, visualization, quality control, and translating scientific requirements into analysis-ready datasets. Partners with study leads and data scientists on protocol feasibility and methodology, while contributing reusable code, documentation, and AI-assisted analytical workflows.

Leads strategic client accounts and internal account teams for digital performance marketing programs. Responsibilities include client relationship management, account growth, program delivery, KPI and budget oversight, financial health, proposals, presentations, reporting, and coordination across media, SEO, development, analytics, and strategy teams. The role also develops account plans, supports new business initiatives, and serves as a thought leader for digital marketing services.

Leads independent second-line oversight and challenge for technology, data, cyber, AI, transformation, operational resilience, and third-party risks. Advises senior executives and risk committees, oversees risk frameworks and exposures, reviews major transformation initiatives, supports regulatory engagement, and leads specialist risk teams across Aviva Canada.

Generate and nurture pipeline through high-touch outbound and inbound activities: segment CRM cohorts, write personalized outreach, use AI tools to create assets, qualify intent to SAL criteria, book meetings, and feed conversion insights back to improve targeting.

Lead a Value Realization Services organization to drive adoption, optimization, and measurable ROI of NICE CX solutions (quality, interaction/speech/text analytics, AI). Manage consulting delivery, operations, revenue, margins, KPIs, and cross-functional alignment while advising senior customer executives and ensuring customer transformation and long-term value.

Leads strategy and execution for large-scale data engineering and analytics programs. Coordinates engineering, data science, product, and business stakeholders; manages roadmaps, dependencies, milestones, risks, reporting, and delivery. Ensures data definitions, transformations, models, and downstream analytics remain accurate and fit for purpose while navigating complex, ambiguous initiatives involving multiple teams and partners.

Manages technology procurement, strategic sourcing, vendor negotiations, renewals, contracts, and commercial risk. Develops procurement analytics using spend, usage, contract, and vendor data, including Excel and Power BI dashboards. Supports cloud, SaaS, marketplace, AI, and Azure purchasing decisions through forecasting, consumption analysis, cost optimization, and commercial recommendations. Collaborates with IT, Security, Finance, Legal, and business stakeholders to deliver savings, cost avoidance, governance, and improved contract terms.

Four-month Summer Associate role supporting the Toronto Blue Jays Strategy & Analytics team. Responsibilities include analyzing data, developing forecasts and models, testing business hypotheses, synthesizing findings, creating actionable recommendations, and collaborating on strategic cross-functional projects. The role offers exposure to business operations and strategic decision-making, with potential full-time extension after graduation.

Own the strategy, roadmap, and delivery of Coalition’s scanning and cyber-risk data products. Partner with Engineering, Data, Security, Underwriting, Actuarial, Design, and customer teams to improve asset discovery, data quality, accuracy, reliability, scalability, and usability. Define metrics, prioritize initiatives, translate technical challenges into product requirements, guide discovery through launch, and develop APIs and experiences that help stakeholders understand and act on cyber-risk intelligence.

Own the Secure Analytics Access product portfolio, including vision, roadmap, backlog, lifecycle, onboarding standards, service operations, support processes, cost transparency, and chargeback mechanisms. Partner with security, architecture, engineering, analytics, operations, and business teams to enable secure, governed analytics adoption. Translate user and security requirements into scalable capabilities, establish operating models, remove impediments, and drive continuous improvement across enterprise analytics services.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Manage FP&A activities supporting the Technology department, including budgeting, forecasting, long-range planning, variance analysis, KPI reporting, and financial insights. Partner with Technology, Infrastructure, Systems, Accounting, Operations, and Corporate Finance leaders to evaluate spending, improve data governance, establish repeatable processes, and support transformation initiatives. Prepare management reports and presentations, validate financial data, coordinate reporting timelines, and identify risks and opportunities through quantitative and qualitative analysis.

Builds dashboards, reports, and data visualizations to answer business questions and deliver actionable insights. Extracts, cleans, analyzes, and documents data while identifying trends and improving repeatable analytics solutions. Translates business needs into technical specifications, enhances reporting systems, supports self-service analytics, and trains non-analytical users. Collaborates with stakeholders and applies data storytelling, decision-making, and risk management practices.

Leads capital and credit risk data analytics, risk-system governance, production support, data reconciliation, reporting, and control processes. Uses Python, SQL, and Power BI to analyze data, develop reporting solutions, identify process improvements, and provide actionable risk insights. Coordinates system changes, testing, documentation, regulatory audit support, stakeholder alignment, and root-cause investigations across risk technology environments.