Top Analytics Jobs in Vancouver

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Analytics Engineer will support data analysis and optimization of conversational AI systems, automate processes, and maintain data pipelines and dashboards.

The Enterprise Account Executive will target Fortune 500 brands, managing complex sales cycles, building relationships, and navigating organizational structures to close large deals in a self-sourced pipeline.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Manage customer analytics and insights for the Customer Success team, developing dashboards and risk targets while improving data integrity and visibility.

Lead a regional renewals analytics team supporting group benefits clients. Oversee renewal analyses, financial modeling, carrier negotiations, and client-ready reporting. Coach analysts, ensure data integrity and consistency, partner with consultants and actuarial teams, and drive process and tool improvements (including PowerBI adoption).

As a Senior Analytics Engineer, lead the development of data infrastructure, design scalable ELT pipelines, optimize data models for Power BI, and ensure data integrity through custom protocols while collaborating with clients and internal teams.

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

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As Senior Manager of Risk Analytics, you will lead a team, shape strategy, drive insights, and enhance risk management through data analytics.

The Data & Analytics Engineer will manage the data infrastructure, owning pipelines, integrations, and ensuring data quality while collaborating with stakeholders to leverage data insights for decision-making.

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

Lead analytics strategy across Game Studios, Platform, and Publishing, driving data-informed decisions and operational excellence with a high-impact team.

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.

The Senior Analytics Engineer will lead the development and optimization of the data platform, implementing Medallion architecture and collaborating with cross-functional teams to create scalable data solutions.

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 Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

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

As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.

The BI Analytics Intern will design analytics dashboards in Salesforce, integrate LLM data, and establish an internal data repository while collaborating with multiple teams.

The Senior Analytics Developer will design and evolve analytical data models in BigQuery using dbt, improve existing models, and enforce modeling standards across teams.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.