Top Analytics Jobs in Vancouver

The Product Analytics Manager will lead analytical initiatives to enhance product capabilities and user experience through data-driven insights, experiment design, and collaboration with various teams to support product decisions.

The Senior Business Analytics Specialist translates technical subjects into actionable business insights, focuses on data integrity, and leads analytics initiatives in Asset Management.

The Manager, Business Performance Analytics will oversee reporting for business management, analyze data trends, and improve reporting processes while collaborating with stakeholders.

The Supply Planning Manager leads S&OP processes, manages supply analytics, and collaborates with supply chain teams to optimize inventory and procurement plans.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

Manage the AI Outcomes Manager team to enhance customer adoption and value realization for AI solutions. Develop training, engage stakeholders, and improve product features based on user feedback.

Lead a team of data analysts to improve product performance insights, establish experimentation practices, and enable self-service insights for the company.

The Enterprise Partnerships Lead will manage the sales process to health systems, engaging C-suite leaders, and expanding partnerships while driving AI adoption.

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

The Manager of Financial Data, Planning & Analytics oversees financial planning and analysis, modernizes financial systems, and drives automation in reporting and forecasting, while acting as a strategic partner to leadership.

The Director of Finance will oversee external financial planning, reporting, compliance, and manage IPO readiness, investor relations, and M&A initiatives, supporting the company's strategic goals and transformation projects.

The Data Visualization Engineer will design and implement data visualization solutions, ensuring high-quality data and user experience while enabling self-service insights across business functions.

Manage the Performance Marketing analytics team, define measurement strategies, analyze data leveraging statistical techniques, and collaborate with stakeholders to improve decision-making for eCommerce initiatives.

The Customer Success Manager will analyze customer data to identify trends, manage at-risk accounts, and develop programs for customer growth and retention.

Design, build, and operationalize a scalable engineering analytics platform: pipelines, integrations, semantic layer, and BI dashboards. Define and enforce engineering KPIs (DORA, delivery health, quality), ensure data quality/governance, and deliver insights to engineering leadership to drive operational improvements.

The Senior GTM Analyst will design dashboards, define KPIs, conduct data analyses, and support forecasting and planning to drive business growth.

The AI Sales Development Manager will define targeting strategies, create personalized outreach messages, analyze performance metrics, and iterate on sales processes for effectiveness.

The role involves designing and implementing SAP-based data and analytics solutions using SAP Analytics Cloud, dashboards, and reporting. Candidates should work with cross-functional teams to align reporting requirements and present data insights to stakeholders.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

As a Platform Expert at Motion, you'll provide customer support and troubleshooting, translate client feedback into product ideas, and maintain internal technical knowledge bases, ensuring effective communication between clients and the engineering team.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

The Senior Client Analytics Partner will help B2B clients optimize marketing strategies and measure success through advanced analytics, reporting, and client collaboration.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The Clinical Pharmacist leverages clinical expertise and analytics to identify cost-saving opportunities, analyze healthcare data, and drive strategic initiatives for improved care quality and efficiency.