Top Data Analyst Jobs in Toronto
The Data Analyst position at Capco involves working with the data architect and other planners to assess current capabilities, assisting in defining data management strategy and data architecture, conducting complex data analysis, proposing data management solutions, collaborating with various stakeholders to define data quality requirements, and conducting data profiling activities.
As a Data Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
Analyzing data to deliver insights for game improvements and revenue growth in the gaming industry. Collaborating with stakeholders to drive data-informed conversations and ensure data quality for accurate reporting and analysis.
Passionate Data Analyst needed to join a dynamic team, utilizing skills in SQL and Python to collect, compile, and analyze organizational data. Responsible for supporting business plans, conducting data analysis, and providing data-driven recommendations for decision-making. Must have strong communication skills in French and English.
Cardinal Health Canada is seeking a Data Analyst for a 6-month contract position with a hybrid work model. The role involves transitioning data pipelines, designing ETL processes, creating data models, developing automated data pipelines, and ensuring data security and compliance. Qualifications include 4-8 years of experience in data analytics, proficiency in SQL, experience with Looker & LookML, cloud-based data platforms, BI dashboarding, and strong problem-solving skills.
Seeking a Data Analyst to build out data insights and infrastructure, provide crucial data insights, and inform business decisions. Responsibilities include managing data pipeline roadmap, performing ad-hoc analysis, collecting and synthesizing data, and building dashboards. Must have 3+ years of experience, strong SQL skills, experience with data visualization tools, and be collaborative and team-oriented.
Collaborate with internal clients to develop data-driven solutions, present results effectively, work in a high-volume environment, analyze data quality issues, contribute to product quality, and work in an agile development setting.
Partner with teams to extract insights from complex data, build metrics and data products, deliver actionable recommendations, and communicate results effectively.
Featured Jobs
Looking for a Data Analyst to join the Product Analytics team in Toronto. Responsibilities include supporting various teams with data analysis, reporting, and developing tools for tracking key metrics. Requires 1-2 years of experience and proficiency in Python and SQL.
As a Marketing Data Analyst, you will analyze data to enhance marketing strategies and initiatives, develop reports, and provide insights to optimize marketing efforts. Responsibilities include data collection, reporting, campaign analysis, market research, customer segmentation, data quality management, and performance optimization.
Seeking a Lead Data Analyst with 8+ years of experience in data analysis and visualization of large data sets. Responsibilities include analyzing data from search engine marketing campaigns, developing analytical dashboards, training junior analysts, and staying up-to-date with industry trends. Requires expertise in SQL, Python, data visualization tools, and statistical techniques.
The Data Analyst at Ratehub will drive business strategy by analyzing data to provide insights on consumer behavior, financial needs, and more. This role involves modeling, maintaining scorecards, collaborating with teams, and supporting data reporting and analysis.
As a Senior GTM Data Analyst at Versapay, you will empower GTM teams to make strategic decisions and drive optimal outcomes by analyzing market trends, identifying opportunities, optimizing campaigns, and guiding sales strategies. Reporting to the VP of Analytics, you'll leverage your expertise to uncover insights that fuel the GTM strategy. This role requires adaptability, collaboration, and strong business acumen in the dynamic GTM landscape.
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Looking for an innovative and experienced Marketing Data Analyst to manage end-to-end reporting and analytics processes within the marketing team. Responsibilities include developing marketing reporting systems, measuring campaign effectiveness, providing data-driven recommendations, and ensuring data quality and governance. The ideal candidate should have 5-7 years of experience in marketing analytics, hands-on experience with Salesforce Sales Cloud, and proficiency in SQL queries.
The Sr. Business Analyst - Data and Analytics will work closely with business stakeholders to understand and document requirements, analyze complex data sets, develop dashboards, collaborate with cross-functional teams, and ensure data integrity and compliance.
Python Data Analyst role focusing on geospatial analytics, NLP, and data analytics. Involves working with internal datasets, developing data processing/ETL, API development, and assisting with competitive use cases. Onsite in Toronto as a Temporary Contractor with 37.5 hours per week.
Senior Data Analyst role at Sun Life, responsible for analyzing and interpreting trends using statistical tools, reporting on business performance, and supporting key initiatives in client acquisition analytics.
Senior Data Analyst role at Coconut focusing on data analysis, data visualization, and driving business decisions through actionable insights. Lead complex projects, mentor colleagues, shape data strategy, and collaborate with stakeholders to transform raw data into compelling narratives. Utilize skills in analytics, statistics, and data modeling to provide mission-critical reporting and analysis.
Looking for a Junior Data Analyst to manage, analyze, and clean data on a real-time basis, collaborate with team members, and perform ad-hoc data analysis primarily in Papua New Guinea for Enveritas. Responsibilities include leading data quality processes, coordinating field teams, conducting research, and supporting special projects.
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The Senior Data Analyst role at Maple involves ensuring data-driven decisions are supported by robust data infrastructure and analytics. Responsibilities include gathering requirements, building data models, supporting marketing and product analytics, creating and maintaining reports and dashboards, and tracking KPIs across departments.
As a Senior Data Analyst for Virtual Connect Analytics, you will optimize operational efficiency, enhance customer experience, and drive revenue growth through data analysis. Responsibilities include data collection, analysis, reporting, visualization, performance monitoring, predictive modeling, and cross-functional collaboration.
The Senior Data Analyst at EverCommerce will collaborate with various teams to lead analytics initiatives, develop key performance indicators, create user-friendly dashboards, and provide actionable insights from data analysis. They will also identify opportunities for process improvement and ensure data quality and integrity.
Senior Product Data Analyst responsible for owning Product Analytics data catalogue, studying product analytics and usage data, working with Growth squad on experiments, and solving data problems for the company.
Designs, analyzes, and models organizational and third-party data to provide business insights. Provides reporting and analytics services, adheres to data standards, and presents findings to audiences. Partners with analytical teams, builds dashboards, and responds to data requests. Requires Bachelor's degree and four years of related experience.
The Category Analyst role involves providing strategic support to the category manager through analytics and proactive business insights. Responsibilities include crafting compelling sell-in stories, analyzing market trends, monitoring competitors' performance, and ensuring benchmarks are met. The ideal candidate is highly motivated and thrives in a fast-paced, data-driven environment.
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