Top Analytics Jobs in Vancouver

The Director of Research for Power Markets will oversee the QA/QC process for long-term price forecasts and act as an advisor to leadership, ensuring rigorous review and internal expertise engagement throughout the forecasting cycle.

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads pre-sales and delivery, drives data-driven orchestration across CDP, CRM, analytics, personalization, ensures governance and security, and mentors teams while remaining billable.

Lead and grow a team of 2-3 PMs owning agent tooling and workflows. Define vision and roadmap for agent experience, drive AI-first automation, partner with Operations and cross-functional teams, deliver scalable systems, and measure impact through analytics and experimentation.

Design, scale, and operate revenue enablement programs for leaders and frontline sellers focused on leader enablement, sales methodology, and new-hire onboarding. Define strategy, operating model, success metrics, and governance. Partner with Sales, Instructional Design, and Analytics to drive adoption and measurable behavior change through blended learning, manager reinforcement, and in-workflow enablement. Track and iterate on program effectiveness to improve manager adoption, methodology adoption, and field productivity.

Lead product strategy for consumer credit, underwriting, merchant pricing, and loan economics. Define features, specs, and metrics; partner with engineering, analytics, design, commercial, legal, and capital to launch and scale products across channels and geographies.

Lead a team of analysts and data engineers to build and operate scalable ETL/ELT pipelines, design domain-specific data marts, deliver production-grade analytics, advise business leaders on data-driven strategy, manage resources and technical debt, and partner with cross-functional teams to ensure data integrity and real-time availability.

Lead architecture and implementation of a scalable, secure multi-site CMS/DXP. Define content models, migration approach, integrations (identity, analytics, search), guide developers, enforce security, CI/CD, performance, and production readiness.

Lead and mentor a team of analysts to deliver fraud, scams, and promo-abuse insights. Own metrics, run experiments, perform SQL-heavy analyses and modeling, translate findings into cross-functional recommendations, and leverage AI tools to scale fraud analytics.

Own and grow strategic mining accounts across North America by driving adoption of AI-powered machine vision, analytics, and automation solutions. Build executive-level relationships, align technology to safety and productivity outcomes, lead complex sales cycles, collaborate with technical teams, and travel extensively to support customers and drive revenue growth.

Lead a developer productivity engineering team to improve the software development lifecycle through metrics, observability, data pipelines, and AI-enabled tools. Own roadmap, mentor engineers, partner with cross-functional leaders, and deliver measurable improvements in adoption, reliability, and developer experience.

Lead integration discovery and scoping for the Audience Intelligence platform. Partner with Product and Engineering to define scalable integration solutions, translate business objectives into functional requirements and PRDs, run technical vendor/client discovery, support API/platform migrations and reliability improvements, develop integration templates and runbooks, and mentor a small team of Business Analysts.

Build and own the analytics foundation: maintain dbt models and Snowflake, create ELT pipelines (Python/Airflow), design semantic layers, ensure data quality and reconciliation, enable self-serve analytics and measurement for cross-functional teams, and support AI-ready data infrastructure.

Lead product strategy and roadmap for Motive's Telematics data platform. Partner with engineering and AI teams to build API-first products, enterprise integrations, and reliable data services. Drive platform readiness for strategic initiatives, mentor product managers, and align stakeholders across product, engineering, and GTM teams.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

Partner with Sales Strategy, Solution Architects, and Ecosystem teams to translate pre-sales questions into analytics and AI solutions. Build BI and AI tools, maintain analytics foundations (Snowflake/dbt/Tableau), run cohort/segmentation and experimentation, and surface insights to improve trials, adoption, conversion, and partner-influenced wins.

Owner of end-to-end revenue and first-order analytics: define stakeholder questions, build datasets and dbt/Snowflake models, run SQL/Python analyses, deliver dashboards or AI-driven tools, and translate results into actionable sales and go-to-market recommendations while maintaining data quality and documentation.

Lead design and implementation of Affirm's Lakehouse Platform (Iceberg, Spark, Snowflake). Define technical strategy, enable secure governed access, improve analytics engineering practices, optimize performance and cost, operate at scale, mentor engineers, and collaborate cross-functionally to deliver reliable, discoverable, and cost-efficient analytical data infrastructure.

Lead deployment and sustainment of a production operating system across the full biomanufacturing value stream. Perform diagnostics, build tiered daily management, run kaizen events, mentor teams in Lean problem-solving, connect performance to throughput and release readiness, and embed durable standard work and KPI governance.

Serve as a strategic analytics advisor to clients: design and audit Adobe Analytics and CJA implementations, run measurement workshops, build dashboards and reports, translate data into actionable stories, present findings, and enforce information security and data privacy best practices.

Lead development of scalable data products for Revenue: design dbt models, metrics, dashboards, governance, and AI enablement. Drive data architecture, quality, lineage, documentation, and automation; mentor analysts and align stakeholders to deliver reliable revenue analytics and reporting.

Design, develop, train, and evaluate machine learning models; prepare and analyze large datasets; build dashboards and integrate models into applications; provide technical leadership and ensure ethical AI practices.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

The Founding Account Executive will build and maintain a pipeline of mid-market or enterprise clients, managing deals end-to-end, leading proof-of-value motions, and defining sales strategies for growth.