High-paying data science jobs in Toronto

Senior Business Analyst

Senior Business Analysts lead requirements gathering, analyse business needs, and guide solution design. They need expertise in data modelling, knowledge of business process frameworks, and strong stakeholder communication to excel in complex, strategic projects.

Senior Data Scientist

Senior Data Scientists lead complex data modelling, develop scalable machine learning solutions, and interpret advanced analytics to guide business decisions. They need advanced statistical expertise, industry domain knowledge, and programming proficiency in Python or R.

Analytics Manager

Analytics Managers lead data analysis projects, translate insights into strategies, and oversee reporting processes. They need expertise in data tools, strong industry knowledge, and effective communication to guide decision-making and improve business outcomes.

Business Analyst

Business Analysts gather and analyse stakeholder needs, design process improvements, and support decision-making. They need expertise in requirements elicitation, knowledge of business operations, and strong skills in data interpretation and communication.

Financial Modeler

Financial Modelers build and analyze quantitative models to forecast business performance, evaluate investment risks, and support strategic finance decisions. They need expertise in Excel, strong financial acumen, and proficiency in data analysis tools like VBA or Python.

Senior Business Intelligence Analyst

Data Scientist

Data Scientists analyse complex data, develop models to solve business problems, and communicate insights to stakeholders. They need expertise in statistics, proficiency with programming languages like Python or R, and knowledge of data management practices.

Senior Analyst

Senior Analysts lead data interpretation, design metrics for insights, and support strategic decisions. They need expertise in data analytics, industry-specific trends, and strong communication skills to translate complex findings into clear recommendations.

Data Analyst

Data Analysts collect and interpret complex data, create reports to guide decisions, and identify trends. They need expertise in data visualization, proficiency with SQL and Excel, and strong knowledge of statistics. Effective communication skills support sharing insights.

Analyst

Analysts interpret data to inform decisions, develop reports, and monitor trends. They need expertise in statistical tools, strong industry knowledge, and effective communication skills to translate data insights into clear recommendations.