Top Data Analyst Jobs in Montreal

The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

As a Data Analyst, you will analyze data to solve business problems, enhance data workflows, and provide insights, focusing on insurance data. You'll validate SQL logic, use Python for data processes, and collaborate with stakeholders to meet business objectives.

Build and maintain a unified marketing performance dataset, design and QA data pipelines, create self-serve dashboards and forecasting tools, analyze acquisition efficiency and CAC/LTV, support marketing and finance with reconciliations, and provide data-driven insights for growth strategy and spend optimization.

Partner with Product leadership to build and maintain Snowflake-based analytics models, run behavioral and funnel analyses, design experiments, and develop predictive models to inform product decisions and roadmap execution.

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.

As a Data Analyst, you will analyze data, visualize findings, create reports, and maintain data documentation while collaborating with data scientists.

As a Data Analyst, you will optimize the reporting ecosystem, focusing on SSRS and Power BI, ensuring data accuracy and driving modern analytics adoption.

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

As a Data Analyst, you will help understand player behaviors using SQL, perform analyses, create dashboards, and promote data-driven decisions.

The Data Analyst will engage in preparing and understanding data for predictive modeling, collaborate with cross-functional teams, create datasets, and manage data assets with an aim to innovate and drive productivity.

Lead product analytics and experimentation: run proactive funnel and cohort analyses, design and analyze A/B/multivariate experiments, build KPIs, automated dashboards and models, and partner with product, marketing, data, and engineering to inform product releases and engagement strategies.

As a Senior Data Analyst, you'll manage data projects, analyze processes, coordinate with teams, and ensure successful delivery, focusing on Microsoft technologies.

Lead the BI Network Analytics team, driving data strategy and analytics tools for ad networks while collaborating with cross-functional teams to improve performance.

The Senior Data Analyst will manage client-facing reports, ensuring data quality and building reliable analytics products while collaborating with various teams.

Own and improve Hive's Snowflake/dbt/Metabase analytics stack as a solo analyst: build and maintain dashboards, partner with leaders, perform ad-hoc SQL analyses, support operations, and present insights to technical and non-technical stakeholders.

Ensure completeness, consistency and reliability of market/reference/pricing data across ingestion, validation and analytics. Investigate and resolve data breaks, build data quality dashboards and KPIs, strengthen control frameworks and documentation, support audits, automate processes, and partner with performance, operations, IT, compliance and portfolio teams to improve data architecture and metadata management.

In this role, you will develop data pipelines, dashboards, and conduct A/B tests while providing insights for strategic decisions across teams.

The Senior Analyst will modernize FP&A processes using IBM Planning Analytics, develop dashboards and forecasting models, analyze financial results, and collaborate on financial planning deliverables.

The Senior IT Business Analyst will analyze business needs, define IT solutions, support development and testing, and collaborate with teams to document requirements and manage change.

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

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.

The Data Technical Analyst at StackAdapt will advise clients on audience targeting, oversee technical setups, optimize data integrations, and troubleshoot performance issues while staying informed on industry trends.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

Serve as a strategic analytics partner to Finance and Music Operations. Lead end-to-end analytics: data modeling, complex SQL, dashboarding in Sigma, data quality, and governance. Deliver executive insights on revenue, streams, royalties, and artist/catalog performance to drive data-informed decisions.