Top Data Analyst Jobs in Montreal

As a Junior Data Analyst, you will analyze data sets, identify trends, solve customer issues, and improve overall customer experience.

As a Data & Reporting Analyst, you will develop data insights and reporting solutions for an electric utility client, utilizing Excel and Power BI. You will analyze complex data sets, create dashboards, and collaborate with stakeholders to drive data-informed decisions. Additionally, you will train junior consultants and manage small projects.

The Principal Data Analyst will drive data-informed decision-making through advanced analytics, collaborating with teams to provide actionable insights and create impactful data visualizations.

As an AI-First Data Analyst, you'll conduct causal analyses, build AI tools, and design data pipelines to support business decision-making while collaborating with executives.

The Senior ERP Data Analyst will demonstrate product capabilities, analyze business requirements, design reporting solutions, and provide training on Velixo’s ERP reporting solutions using SQL and Excel.

As a Staff Data Analyst, partner with teams to develop metrics, build data products and dashboards, and drive actionable business recommendations through analytics.

The Senior Data Analyst will analyze marketing, sales, and account management data to improve customer acquisition and retention, and mentor other analysts.

As a Data Analyst at Zynga, you will improve metrics through A/B testing, analyze game features, and develop dashboards while collaborating with teams.

The Risk & Payments Data Analyst will build, enhance reports, analyze complex datasets, and support fraud mitigation efforts using various data analysis tools.

As a Senior BI Data Analyst, you will design automated reporting systems, analyze large datasets, and provide strategic insights to cross-functional teams, enhancing decision-making processes.

The Data Analyst will develop and maintain analytics systems, conduct in-depth analysis across business domains, and drive data visibility and insights for decision-making.

The Senior Data Analyst will analyze performance data from various sources, collaborate with teams, and present findings to enhance business performance.

The Business Data Analyst will analyze data trends, conduct market research, create actionable recommendations, and support cross-functional teams in strategic decision-making.

Lead cross-functional analytics projects, develop data-driven recommendations, and mentor junior analysts while promoting data excellence.

The Senior Data Analyst I will enhance business performance at Mistplay using data analysis, supporting product features through A/B tests, and collaborating with stakeholders to drive insights.

As a Senior Data Analyst at Voldex, you will analyze gameplay data, design A/B tests, build dashboards, and drive product insights to enhance player experiences.

The Data Acquisition Analyst will analyze and visualize data for AI/ML projects, collaborating across teams to deliver insights and improve data organization. Responsibilities include using SQL, statistical methods, and BI tools effectively.

The Senior Analyst in Enterprise Data Management will develop reports and dashboards, support data analysis, and collaborate with business teams to drive actionable insights using various data visualization tools.

As a Senior Data Analyst, you will leverage complex datasets for actionable insights, design dashboards, mentor junior analysts, and advocate for data quality.

The Senior Data Operation Analyst analyzes data using SQL and BI tools, ensuring data integrity while collaborating with cross-functional teams to provide insights.

The Analyst will conduct research and analysis to develop and maintain data assets, ensuring quality and accuracy in people intelligence data.

The Senior Data Analyst transforms EHR data into research-grade data for Life Sciences, utilizing data coding, SQL, and analytics expertise to support product development and engage stakeholders.

The Analyst will support data-driven decision-making, conduct process assessments, perform data analysis, and develop business requirements and process maps to identify improvement opportunities.

Lead the design and execution of automated reporting, insights, and analytics infrastructure, collaborate with teams on data requests, and ensure data accuracy.