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.

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.

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 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.

The Data Analyst Intern will migrate dashboards from various platforms to Hex, perform data validation, conduct analyses for insights, and communicate findings across teams.

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.

Support and execute BAU data and reporting tasks: develop and maintain reports and documentation, respond to ad-hoc requests, test and reconcile data/metrics, and assist senior peers to design new data/reporting workflows. Gather stakeholder requirements and communicate findings to business audiences to improve operational efficiency.

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.

The role involves designing and maintaining interactive dashboards, optimizing data models, writing SQL queries, and conducting analytical deep dives to support revenue operations.

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.

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.

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.

The Senior People Science and Insights Analyst will consult on analytics, refine data, build predictive models, and translate complex data into executive insights, driving organizational decision-making.

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.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.