Top Analytics Jobs in Vancouver

The FP&A Leader will analyze financial data, support strategic decision-making, and prepare reports for senior management at Tiger Analytics.

The Enterprise Strategy & Analytics Senior Associate will drive data-driven decision-making for the Enterprise Go-To-Market leadership, focusing on revenue funnel insights, analytical strategies, and operational optimizations through collaboration with key stakeholders.

The Director of FinTech & Risk Analytics will lead analytics for Jobber's financial services, focusing on risk management and AI-powered strategies, while managing a team of analysts.

The Senior Strategy and Analytics Specialist will advise leadership, manage analytics, conduct data analysis, and support strategic initiatives to drive growth and operational excellence.

Design and evolve systems for Motion's infrastructure, focusing on reliable and secure operations across APIs, Linux systems, and cloud environments with a focus on hands-on coding and engineering judgment.

Responsible for developing credit risk models, portfolio analytics, and decision logic in production systems while leading a small team.

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 Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

The Principal Analytics Engineer will design and build a marketing intelligence system, architecting data products and enabling AI interactions with business data.

Analyze subscriber behavior and retention metrics, produce insights for strategy, measure A/B test impacts, and automate reporting with Data Engineering.

Lead research, design, and implementation of large-scale cloud data ingestion, preprocessing, distributed training, and benchmarking for geospatial foundation models focused on agriculture. Contribute to model architecture, fine-tuning, tooling, documentation, and Agile development processes.

Design, implement, test, deploy and maintain backend systems (APIs, databases, cloud infrastructure) for Earth observation platforms. Lead architecture, mentor engineers, drive DevOps/CICD practices, troubleshoot production issues, and influence product roadmap and technical direction.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

As a Senior Analytics Engineer, you will build a modeling layer in dbt and Looker, mentor others, and ensure actionable insights are delivered, while migrating from legacy data systems to a modern stack.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Lead the Retention Analytics team, providing actionable insights, driving retention strategies, forecasting performance, and managing a team of analysts to optimize customer retention.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

As a Senior Software Engineer on the Analytics team, you'll design and implement backend services, manage deployments, conduct data analysis, and lead projects to enhance performance and features.

As a Senior Software Engineer, you'll oversee backend services development, manage Kubernetes deployments, conduct performance monitoring, and collaborate with cross-functional teams to enhance our messaging platform.