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Top Data Analytics Jobs in Toronto
In this role, you will help define the product analytics roadmap, create analytical frameworks, and translate complex datasets into actionable insights. You'll work collaboratively across various teams to identify opportunities for growth and efficiency, influencing strategic decision-making for the organization.
The Scalability Analytics Lead will design and maintain data pipelines, dashboards, and self-service tools. This role supports the Commercial organization by enhancing operational efficiency and leveraging data insights to drive business decisions. Collaboration with various teams and integration of AI capabilities will be key responsibilities.
The Senior Manager Data AI & Analytics will lead the design and implementation of data analytics strategies for digital agriculture, develop technology solutions to optimize crop production and sustainability, integrate diverse datasets, and drive innovation in digital agriculture. They will oversee a high-performance team and collaborate with cross-functional teams to meet business outcomes and compliance.
The Sr. Data Scientist in Fraud Analytics will design and support statistical fraud solutions, develop and validate fraud models, and collaborate with various teams to drive analytics revenue. Responsibilities include model implementation, technical support, and identifying business opportunities within the fraud domain.
As a Staff Analytics Engineer at Babylist, you will lead the design and implementation of scalable data solutions, drive alignment of data strategies with company objectives, and mentor team members, while leveraging extensive experience in analytics engineering.
As a Data Engineer, you will model ingested data into consumable objects, implement and test data pipelines, document data lineage, and create comprehensive data products. Collaborating with Analysts and Software Engineers, you will facilitate data-driven decisions and help manage the data platform.
The Manager, Insights and Analytics will drive consumer-centric insights and analysis to support growth at Mondelēz Canada. This role involves collaborating with marketing teams, conducting research, analyzing data, and generating actionable strategies to enhance brand performance. Leadership in managing projects and cross-functional teams is essential, along with deep consumer insight exploration.
The Director of Advanced Analytics will lead the analytics team, drive the implementation of analytics projects, manage data analysis, and promote a data-centric culture at McCain. This role involves collaborating across departments, advocating for strategic decisions informed by data, and staying updated on analytic innovations.
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The Data Analytics Engineer will design and maintain scalable data pipelines, implement data orchestration tools, work with AI processes, support predictive model development, manage ETL workflows, and collaborate with cross-functional teams for data governance, ensuring analytics solutions are production-ready.
The Analyst I, Growth Analytics role involves owning the end-to-end analytics workflow, leading cross-functional metric reviews, driving a data-driven culture, and addressing ambiguous problems through data exploration and experimentation. The candidate will collaborate with various teams to build insights that improve user engagement and business profitability.
As a Senior Business Analyst in Strategy and Analytics at Capital One, you'll drive business outcomes by developing strategies, building analytical business cases, and executing projects across various business areas such as product and marketing. You'll utilize data-driven decision making to enhance overall business strategies and work closely with cross-functional teams.
The Manager of Strategy & Analytics will lead a team to develop strategic roadmaps, analyze data for insights, and support product and marketing strategies. This role requires a strong focus on people management, analytical problem-solving, and collaboration with cross-functional teams for effective implementation of initiatives.
As the Lead Analytics Engineer, you will own the data function at Rewind, designing robust data models and optimizing data infrastructure using SQL, dbt, and BigQuery. You will collaborate with C-level stakeholders, enhance self-service data capabilities, and ensure data quality and governance. Your role includes mentoring juniors and translating business needs into data-driven insights.
The Senior Manager, HEF Analytics is responsible for enhancing analytical capabilities and data visualization for the Home Equity Finance team, to enable insights into client behavior and business strategies. This includes predictive modeling, reporting, and mentoring team members, while collaborating with various stakeholders to optimize financial performance and market analysis.
The Enterprise Analytics Manager oversees advanced reporting solutions for data-driven decision-making in finance, collaborating with stakeholders to design digital tools that optimize business processes and support strategic initiatives. This role includes product backlog management, agile project development, and continuous learning in emerging technologies.
The Senior Data Analyst role involves delivering actionable customer insights and developing statistical and ML models to inform strategic business initiatives. The position requires strong analytical skills, proficiency in SQL and Python/R, and effective communication to influence decision-making.
The Manager, Data Analytics, Assurance & Advisory will enhance audit processes through data-driven insights, leveraging analytics and AI to improve efficiency and effectiveness in auditing. Responsibilities include developing data analytics methods, collaborating with stakeholders for optimal audit engagement, and contributing to advanced analytics initiatives.
The HR Systems & Analytics, Workday Lead will manage HRIS strategy, implementation, and maintenance, ensuring data integrity, conducting audits, and resolving system issues. They will lead training sessions, oversee system security, and create custom reports for stakeholders.
As a Sales Representative at CoStar, you will engage potential clients, manage existing accounts, and promote CoStar and LoopNet products. You will own the full sales cycle, provide in-depth product demonstrations, and network within the commercial property market. Strong client relationship skills and sales experience are essential.
As a Senior Analyst in Credit Risk Analytics at BMO, you will analyze and implement credit risk models, develop stress testing methodologies, and provide actionable business recommendations. You'll work collaboratively with stakeholders to address inquiries and improve risk measurement consistency, while gaining valuable experience in risk analytics.
The Manager of Credit Optimization Strategy & Analytics will lead the development of strategies for credit card account management, employing data visualization and analytics to derive insights from business data. This role involves creating dashboards, interpreting trends, developing insights, and training non-analytical users on reporting tools.
The Scaled Analytics Partner role focuses on delivering data-driven insights and measurement solutions for mid-tier clients, collaborating with teams to ensure accurate reporting and KPI analysis. Responsibilities include managing client deliverables, conducting QA and discrepancy checks, and identifying opportunities for templated best practices in measurement adoption.
The Senior Manager, Advanced Analytics will define and implement product strategies for data analytics and AI to support business objectives, manage product lifecycles, and collaborate with teams to enhance the customer experience. The role includes risk management, strategic input for business decisions, stakeholder collaboration, and team performance improvement.
The Manager, Reporting & Analytics is responsible for leading data preparation, analysis, and reporting to support business decisions. The role involves consulting on analytical solutions, providing insights into customer behavior, and developing strategies for data quality and analytics. The manager will design tools, validate models, and ensure alignment between business needs and data requirements while collaborating with various stakeholders.
As a Senior Data Analytics Engineer, you'll build and deploy an Enterprise Data Warehouse, define data needs across functions, write data transformation code for ETL/ELT, mentor junior team members, optimize data pipelines, and ensure data quality through testing and documentation.
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