Top Data Analyst Jobs in Montreal

The Staff Data Analyst will lead compliance analytics efforts, develop data strategies, and communicate insights related to compliance and regulatory engagements, focusing on the financial crimes and AML domain.

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

Develop and maintain Power BI and Zoho CRM reports, extract and analyze PostgreSQL data, automate data cleaning with Python/PySpark, ensure data integrity, and provide actionable insights to stakeholders.

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.

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 Staff Data Analyst will enhance data quality across Engineering and Research, lead cleanup efforts, utilize data extraction tools, and translate findings into actionable insights for diverse audiences.

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 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.

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.

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.

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.

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

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.

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.

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.

Analyze large datasets to derive insights, create dashboards, conduct A/B tests, and collaborate with teams to enhance player experiences.

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.

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.

Lead GTM and servicing analytics to build a Customer 360 view. Integrate marketing, sales, product, and servicing data to model journeys, measure campaign impact, build dashboards and data models, surface actionable insights to improve acquisition, onboarding, retention, and mentor junior analysts in SQL and best practices.

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

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.