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 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.

Gather, organize, and analyze data to produce dashboards, reports, and pipelines that inform leadership decisions. Build scalable ETL/data solutions, apply statistical analysis and AI/ML techniques, and modernize workflows to improve operational efficiency and process outcomes while collaborating with stakeholders.

Manage and validate product master data across ERP, PIM, CMS and web platforms. Extract and analyze product data using SQL and BI tools; build reports and dashboards. Improve data workflows and governance, automate validation, and support Product, Engineering, Marketing, and Sales to resolve data discrepancies.

Lead exploratory analysis of player behaviour, build dashboards and visualizations, partner with designers/UX/engineers, translate analytical needs into pipeline requirements, maintain AI-powered tooling, monitor KPIs, and surface actionable insights to guide game design.

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.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

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 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.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

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

Design, build and maintain robust Databricks data pipelines and ETL processes on cloud (Data Lake/Lakehouse). Develop transformations in Python and Spark, apply data quality best practices, integrate CI/CD (Azure DevOps), document solutions, and participate in Agile rituals to support analytical platforms and decision-making.

Senior data analyst role focused on deriving business insight from data. Requires a bachelors degree, minimum six years' relevant experience, and French proficiency. Competencies include action orientation, business insight, customer focus, and adaptability; hybrid work and standard employee benefits.

Bridge telecom data and business strategy by building dashboards, certified datasets, and AI-driven data assistants. Deliver deep-dive analyses on ARPU, churn, CAC and operational metrics using BigQuery and Tableau, and collaborate in agile squads to deploy self-service analytics and Agentic AI tools.

Lead HR data capability delivery: translate business needs into functional specs and user stories, analyze HR/Workday data, design Workday reports, validate API integrations, triage data issues, and support testing and platform releases to enable workforce insights and AI-supported decisions.

Support and enable PSP's Data Analytics platform by integrating and provisioning internal and external data, managing market data requests and licensing, implementing and monitoring data quality and catalogue, supporting analytics development, resolving incidents and ad hoc queries, and applying emerging AI tools to improve team efficiency and deliver actionable insights.

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.

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 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.

Serve as a senior IT business analyst for the Data Lab: elicit and document business needs, define IT/data solutions, estimate impacts/effort, support development, QA and acceptance testing, maintain user stories and product backlog, support change management, and produce clear functional documentation for stakeholders.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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.

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.