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.

The Game Data Analyst will support game production with data insights, optimize live operations, and enhance player engagement through analysis and AI tools.

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.

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.

Perform descriptive and diagnostic analysis on claims data, design metrics and prototypes, query and prepare datasets (T-SQL/SQL/MySQL), extract/clean/reconcile data, and communicate findings to stakeholders to support business objectives.

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.

Perform exploratory, diagnostic, and descriptive analyses to generate insights and dashboards. Build and maintain reports, prepare and transform data (SQL/Python/Alteryx), validate pipelines, analyze A/B tests, document data lineage and business rules, and present findings to stakeholders to inform decisions across Digital, Marketing, Finance, 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.

Collect, process, analyze data from multiple sources and build complex reports using DBMS. Advise clients, identify user needs, recommend data management improvements, and present actionable insights to stakeholders to support decision-making.

Collects, processes, analyzes data from multiple sources to build complex reports and recommendations. Advises clients on data management tools, performs descriptive and diagnostic analyses, coordinates cross-sector operationalization, and identifies process improvements to support business decision-making.

Lead development of scalable analytics and reporting solutions: build and maintain automated data pipelines, integrate and validate enterprise data, design dashboards and self-service reporting, and translate audit and business requirements into governed data solutions to improve risk monitoring and decision making.

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.

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.

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.

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.

Lead BI reporting and analysis for Advertising Technologies: design dashboards, define ETL/data models, create KPIs, resolve data quality issues, deliver recurring and ad-hoc reports, automate reporting workflows, document data logic, and collaborate with stakeholders to communicate insights.