Top Data Analyst Jobs in Toronto

As a Senior Data Analyst at Dandy, you will drive revenue analytics, improve customer retention, and increase lifetime value. Responsibilities include developing insights for the revenue team, defining KPIs, facilitating decision-making through data tools, conducting A/B experiments, and mentoring other analysts.

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 Data Analyst III will analyze structured and unstructured datasets for insights, create advanced visualizations and reports, perform Exploratory Data Analysis, manage large data sets, and troubleshoot data issues. The role involves working independently and requires strong SQL and Excel skills, along with attention to detail.

The Global Data Analyst will lead data integration across various global business systems, ensuring data quality and timely resolution of data issues. Key responsibilities include analyzing integration output, troubleshooting processing issues, translating user requirements into technical queries, and collaborating on software initiatives while maintaining accurate data documentation.

As a Data Analyst at Mismo, you will be responsible for managing and analyzing master data sets, developing reports and dashboards, ensuring data integrity, and supporting data warehouse initiatives. Your expertise will help maintain clean and accurate data, while collaborating with data and development teams on various data-related tasks.

The role involves collaborating with internal clients to develop data-driven solutions, ensuring data quality, and using analytical models. Responsibilities also include working in an agile environment and contributing to product quality improvements through data analysis focused on automotive data issues.

The Staff Data Analyst - Marketing will manage complex marketing data and perform advanced analytical tasks to optimize marketing strategies. Key responsibilities include analyzing campaign performance, customer behavior, and marketing ROI while collaborating with cross-functional teams to provide actionable insights. The role includes mentoring junior analysts and utilizing advanced statistical methods for data-informed decision-making.

The Sales Data Analyst will collect, analyze, and interpret sales data to identify trends, engage with stakeholders, and present actionable insights. This role involves ensuring data accuracy, collaborating with cross-functional teams, and creating data visualizations to support decision-making.

The Staff Data Analyst - Product will provide advanced analytical support to optimize product development and improve user experiences. Responsibilities include leading product analytics initiatives, conducting performance and KPI analysis, collaborating on impact analysis, conducting A/B testing, customer segmentation, forecasting trends, and mentoring other data analysts.

As a Data Analyst, you will enhance the rider experience by conducting data analysis, collaborating with cross-functional teams, managing performance dashboards, and designing A/B testing for product improvements.

The Senior Market Data Analyst investigates strategies to optimize business operations by defining requirements based on data analysis. They collaborate with stakeholders, develop project documentation, perform functional analysis, and troubleshoot systems to ensure technology delivers expected business outcomes. The role entails using tools to analyze data and validate business requirements while providing specialized consulting and support across projects.

As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.

As a Principal Data Analyst, you'll lead data-driven initiatives, mentor junior analysts, and design sophisticated analytical solutions using large datasets. Your role will involve collaborating across teams to derive insights, support product decisions, and enhance user experience through data storytelling. You'll utilize tools like SQL, Python, and visualization software to communicate findings effectively.

As a Data Analyst at Stripe, you will leverage data to support business decisions, extract insights from large datasets, build metrics and dashboards, and deliver actionable business recommendations. Collaboration with cross-functional teams and managing multiple projects with attention to detail are key responsibilities.

The Data Analyst will lead analytics workflows, design and maintain KPI dashboards, support data model development, and collaborate on A/B testing to drive strategic decision-making across Ratehub. The role requires strong communication skills and a passion for data analysis.

As a Senior Data Analyst, you'll lead project delivery by analyzing large datasets to drive business insights and recommendations. You'll collaborate with product stakeholders, develop methodologies for business needs, ensure data governance, and leverage various data analysis tools.

The Data Engineering Analyst will build and maintain server-side web applications focusing on database management, data integration, data pipelines, and APIs. Responsibilities include optimizing ETL processes, resolving pipeline issues, and developing microservices while adhering to best practices in coding and testing.