Top Data Analyst Jobs in Montreal

Lead marketing analytics and data strategy for B2B SaaS Marketing. Design measurement frameworks, own attribution, funnel and lifecycle analysis, forecasting, and marketing investment recommendations. Partner with senior marketing leaders and cross-functional teams to build data foundations, enable AI-assisted analytics, and mentor analysts to raise analytical standards.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

The Data Analyst will support data operations, address client data issues, and conduct independent analysis to innovate solutions for the Digital Out of Home media channel.

Analyze fleet‑scale manufacturing, test, deployment, and operational data to produce KPIs, dashboards, and AI‑enabled applications. Perform statistical analysis, improve data quality, automate workflows with AI/ML, and deliver executive insights. Collaborate with engineering, product, suppliers, and operations to embed data‑driven solutions into NPI and manufacturing processes.

Analyze large datasets to produce dashboards, metrics, and insights supporting product, care, and business decisions. Build BI infrastructure, run A/B and multivariate tests, perform ad-hoc analyses and visualizations, and collaborate with stakeholders and data scientists to inform strategy and operations.

Lead analytics for Internal Audit Claims: extract, transform, reconcile, and validate large claims datasets; build and maintain Power BI reports/dashboards; perform QA and tie-outs; support automation, bots/AI enablement, and executive reporting; mentor other analysts and partner with audit, IT, and business stakeholders to deliver repeatable, validated analytics.

Senior Data Analyst partnering with Marketing to measure attribution, funnel performance, forecasting, and lifecycle metrics. Build analytical frameworks, scale AI-assisted analytics, work with cloud data stacks, BI tools, and martech to inform marketing decisions and improve data foundations.

Support D2C and B2B growth by building automated dashboards, performing funnel and conversion analyses, tracking lifecycle marketing and ad performance, and partnering with cross-functional teams to scale growth initiatives. Learn from mentors and progress into owning growth and marketing analytics domains.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Support international data initiatives by performing SQL-based analysis, producing insights and executive-ready scorecards, maintaining reporting/operational dashboards, coordinating incident management and operational readiness, and aligning cross-functional stakeholders to drive data-driven decisions across global markets.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The MDM Data Analyst will translate business needs into data requirements, document governance rules, and ensure high-quality master data management across enterprise systems.

Lead marketing analytics projects to measure and optimize campaign performance across channels. Design experiments, build reporting and benchmarks, analyze paid media and creator impact, collaborate with Data Science for predictive insights, and communicate recommendations to marketing and brand stakeholders.

Mid-level data analyst role in the Data family focused on creating business value from data (data valorization). Requires a bachelors degree, at least four years' relevant experience, French language proficiency, and business insight. Benefits include competitive salary, annual bonus, pension, group insurance, and telework equipment reimbursement. Hybrid work model.

Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Lead validation, governance, and management of financial and performance data. Maintain datasets and TM1 structures, implement data controls and automation, support reporting, RFPs, audits, ad-hoc analyses, and adopt AI/advanced analytics to improve data quality and workflows across finance, valuation, FP&A, investor relations, and investment teams.

Support CX Shared Services by gathering requirements, extracting and integrating data from multiple systems, building automated Power BI reports and KPIs, validating data and dashboards, troubleshooting, and delivering clear analyses and presentations to drive CX decision-making.

The Product Data Analyst will analyze operational data, develop analytics frameworks, create dashboards in Tableau, ensure data integrity, and collaborate across teams to enhance decision-making and reporting.

As a Senior Data Analyst, you will support Finance and Payments teams by building SQL/dbt models, creating Looker dashboards, and providing actionable financial insights.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

Lead end-to-end debit analytics: design and modernize reporting, build executive dashboards, run A/B tests, produce actionable insights, optimize measurement/KPIs, mentor analysts, and partner with stakeholders to influence product and business decisions using cloud data platforms and advanced SQL/Python analytics.