Top Data Analytics Jobs in Toronto
The successful candidate will turn data into information, information into insight, and insight into business decisions.
Analyzing risk in portfolios and strategies through quantitative research and data tools to make better financial decisions. Developing and implementing frameworks to drive innovation and minimize uncertainty. Leading teams, fostering a culture aligned with company values, and ensuring diversity and inclusion. Specializing in regulatory capital, stress testing, compliance, machine learning, and data visualization.
Lead the pricing analytics team for Wakam, a B2B2C insurance company, focusing on product and pricing issues across the UK and EU perimeter. Responsibilities include strategic leadership, technical excellence, innovation, and development. Required skills include actuarial science, statistics, data science, and proficiency in Python, R, and visualization tools.
Act as a technical expert on product & pricing issues across the EU perimeter for a B2B2C insurance company. Responsibilities include collecting data, statistical modeling, developing pricing models, and presenting results internally and to distributors.
Lead a team of data professionals, oversee company-wide metrics and KPIs, drive strategic business decisions through data analysis, promote self-service data access, advocate for quality data usage
Lead monthly and quarterly business performance reports, engage with stakeholders, provide actionable insights, support data visualization, identify improvement opportunities, and participate in national initiatives/projects.
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Seeking a Staff Analytics Engineer with 5+ years of experience in analytics & data engineering roles. Responsible for developing and supporting large-scale data systems, optimizing processes, leading projects, ensuring data security and quality, and embracing emerging technologies.
Seeking a Staff Analytics Engineer to lead the Core Data Infrastructure team in developing and executing a strategic vision for data platform, optimizing operational processes, leading projects, ensuring data security and quality, and embracing emerging technologies. Requires 5+ years of experience in analytics & data engineering, proficiency in Python and SQL, strong leadership and communication skills, and deep knowledge of data warehousing concepts and big data technologies.
Featured Jobs
Analyze, monitor, and report on financial performance and condition of business. Provide financial & business analysis to support business solutions and outcomes. Develop solutions based on business strategy and stakeholder needs. Provide advice, guidance, and support for strategic initiatives. Collaborate with internal and external stakeholders to deliver on business objectives.
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Join StackAdapt as a People Analytics Lead to build and lead the People Analytics function, turning data into strategic insights and initiatives. Partner with various teams to inform program decisions, design analytical solutions, and drive measurable business outcomes. Remote position open to candidates in the US or Canada.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
Design, build, and optimize data pipelines, contribute to data warehouse management, implement ETL processes, collaborate with data scientists for data analysis, optimize performance, document data models, collaborate within a cross-functional team.
Looking for a Manager/Sr. Manager in Digital Analytics with 8-10 years of experience in marketing strategy and program management. Responsibilities include collaboration with cross-functional teams, data analysis, program management, and leadership. Must have strong analytical skills, experience with digital analytics tools, and the ability to convey complex data insights to non-technical stakeholders.
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.
Lead cross-functional projects using quantitative analysis and advanced data modeling to guide strategic decisions for security and underwriting business. Collaborate with teams to report on KPIs and metrics anomalies. Analyze disparate data sources and contribute to the culture of data excellence within the team.
Collaborate with stakeholders to gather requirements, analyze business problems, and design digital solutions. Manage project delivery, optimize systems, and consult on digital tools. Ensure effective website performance through analytics and support business intelligence needs.
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.
Develop cloud architecture solutions, data solutions, and models, work with a team of cloud data engineers, analyze structural requirements, migrate data to cloud solutions, optimize data systems, and coordinate with stakeholders to identify future needs.
As a Senior Analytics Engineer at theScore, you will work with stakeholders to leverage data for decision-making, develop dbt models, manage Airflow tasks, provide data insights, and contribute to the overall data strategy. Requires 4+ years of analytics experience and proficiency in SQL, dbt, Looker/Tableau, and Python.
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.
Design dashboards, analyze data, and provide insights through reporting and data visualization techniques. Collaborate with data professionals to optimize and automate analysis. Translate business needs into technical specifications and enhance usability of data analytics solutions.
Responsible for supporting media and digital analytics team to optimize media testing and investments. Lead key projects in investment scenario planning and advanced media measurement. Partner with internal and external stakeholders for data-driven decision-making. Create insights for senior stakeholders and collaborate with media agencies on measurement discussions.
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.
Partner with teams to extract insights from complex data, build metrics and data products, deliver actionable recommendations, and communicate results effectively.
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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.
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