Top Analytics Jobs in Vancouver

The Analytics Manager will optimize offer performance, drive user engagement, analyze profitability metrics, and collaborate with cross-functional teams to enhance marketplace strategies.

The Staff Analytics Engineer will lead the design and implementation of scalable data solutions, mentor teams, and drive data strategy alignment across the organization, enhancing data practices and collaboration.

The VP of Data Consulting will lead and scale a high-performing data consulting team, managing diverse data projects and collaborating with various teams to ensure successful solution delivery for Fortune 500 clients.

The Associate Managing Consultant will manage client relationships and develop analytics strategies using qualitative and quantitative techniques to provide actionable insights and recommendations.

The Analyst II will manage analytics workflows, produce insights, lead metric reviews, and drive a data-driven culture for user engagement and growth.

The Coordinator in Audience and Analytics provides data management and reporting support, focusing on data acquisition and management processes while collaborating with analysts and project managers.

The Scaled Analytics Partner delivers data-driven insights and measurement solutions, collaborates with teams, manages client deliverables, and ensures data accuracy for media campaigns.

As a Data Systems Intern, assist in documenting enterprise data processes, learn Google Cloud and Power BI, and collaborate on analytics solutions.

Lead the Data & Analytics strategy for PNE by centralizing data governance, enabling data-driven decision-making, and fostering a data-first culture across the organization.

As the first Analytics Engineer, design and build analytics infrastructure, ensuring data reliability and accessibility to drive business decisions. Collaborate on data modeling and dashboard creation while leading data governance efforts.

The Analytics Implementation Specialist helps clients implement digital analytics systems by translating business needs into technical requirements, ensuring effective use of tools like Google and Adobe Analytics, and performing quality assurance on deployments.

Lead the Analytics Engineering team to develop data solutions, optimize pipelines, and leverage AI to drive business impact. Collaborate with product teams to enhance data-driven decision making.

The role involves analyzing data using advanced methods to provide insights, develop predictive models, and support business strategies. It requires collaboration with teams to design solutions that enhance customer experience and business performance.

As a Senior Data Engineer, you will design, build, and maintain analytics platforms, establish data models, and support cross-functional teams to leverage data for business growth.

This role involves developing and validating predictive credit risk models, performing data analysis, collaborating with stakeholders, and presenting findings to leadership.

The Lead Analytics Engineer will design, build, and optimize data architectures and pipelines, lead teams, manage stakeholder requests, and drive data-driven decision-making.

The Senior Data Scientist will develop advanced analytics solutions, collaborate with teams, and drive data-driven decisions in the insurance domain.