Top Data Analyst Jobs in Montreal

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

Lead data strategy and telemetry for Dead by Daylight, design scalable analytics and prototypes, deliver actionable insights, mentor analysts, build stakeholder relationships, and promote a data-driven culture to guide product and business decisions.

Analyze fleet-scale manufacturing, testing, and operational data to produce KPIs, dashboards, and AI-enabled applications. Build statistical analyses, automate workflows with AI/ML, integrate cloud AI services, and collaborate with engineering and product teams to improve data quality, drive root-cause analysis, and support NPI and product operations.

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.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.

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.

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 and operationalize consent and privacy-related data across its lifecycle. Use SQL for data profiling and anomaly detection, design consent-focused data models, support OneTrust and integrations with CRM/ESPs, enforce data governance and GDPR/CCPA compliance, monitor data quality, document lineage, and collaborate cross-functionally in Agile teams.

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.

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.

The Data Analyst will analyze complex data to provide insights for Finance and Operations, build dashboards using Looker, and optimize data quality.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

As a Senior Analyst, Data & GIS, you will support investment decisions through advanced geospatial analysis, data modeling, and collaboration with stakeholders, enhancing the firm's Digital Infrastructure Strategy.

Collect, process, analyze data from multiple sources to produce complex reports and recommendations. Advise clients on data management tools, operationalize analytics solutions, and coordinate cross-sector stakeholders. Perform descriptive and diagnostic analyses to support business decision-making and improve data processes.

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.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

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.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Serve as a strategic BI partner to define KPIs and deliver analytics solutions. Design and maintain Power BI architecture, optimize data workflows with SQL and BigQuery, use Python for advanced analytics and automation, establish BI standards and documentation, and prioritize initiatives to deliver timely, high-quality insights.