Top Data Analyst Jobs in Montreal

As a Data Analyst Intern, you'll analyze data to support Group Insurance and Savings by developing tools, interpreting data, and collaborating with experts.

The Data Analyst will support the Neuro and Integrations Squads by collaborating on ML models, data validation, trends analysis, and creating dashboards while training teams on data analysis.

The Sr. Data Analyst will deliver actionable insights, develop predictive models, build dashboards, and work with stakeholders to drive revenue through data-driven solutions in a rapidly growing startup.

The Senior Analyst for Sales will collaborate with sales leadership to improve sales performance, develop reporting tools, and oversee key sales metrics using SQL and Looker.

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 in Business Intelligence, you will analyze data, develop insights, and provide recommendations to assist internal teams and improve decision-making processes within StackAdapt's advertising platform.

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.

The role involves extracting, analyzing, and valorizing data, supporting the development of ETL solutions, and ensuring data quality for informed business decisions.

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.

The Data Analyst for Risk will analyze and report on fraud and risk data, develop insights, build dashboards with Looker, and improve risk processes.

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.

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.

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.

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.

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 Senior Data Analyst, you will lead complex data projects, coach team members, design metrics, perform data analysis, and communicate findings effectively.

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.

The Senior Business Analyst will lead financial systems projects, gathering requirements, conducting data analysis, and collaborating with teams to document and optimize data flows for a transactional data warehouse.

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.