Top Analytics Jobs in Vancouver

Lead product strategy and execution for predictive maintenance solutions. Own product vision, roadmaps, discovery, delivery, and OKRs; collaborate with cross-functional teams; drive customer insights, AI/data-driven optimization, integration and business outcomes; mentor product managers and measure adoption, satisfaction, and commercial performance.

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.

Lead the recipient setup and payment selection product, building scalable systems to handle global corridor rules. Use AI and analytics to enable alias-based lookup, intelligent autofill, and adaptive validation. Define strategy, run A/B experiments, partner with engineering, design, risk, and payments partners, and improve conversion, send volume, and customer trust.

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 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.

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.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

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.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

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.

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.

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 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.

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.

Lead end-to-end solution design and architecture for Sales Cloud, Service Cloud, and Agentforce implementations. Translate sales and service requirements into scalable Salesforce solutions, define automation and AI use cases, oversee integrations, and drive governance, adoption, and measurable business outcomes while mentoring delivery teams and facilitating stakeholder workshops.

Design and build a unified analytics instrumentation platform using Go, Kubernetes, ClickHouse, and NATS. Improve data emission, transit, and quality for usage and billing, provide incident response and root cause analysis, collaborate with product and data teams to drive adoption, make tradeoffs for reliability and performance, and mentor engineers through reviews and documentation.

Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.

Own and drive a large enterprise sports client relationship end-to-end. Coordinate product, engineering, delivery and ops to ship work, manage roadmaps, reporting, renewals and expansions, handle incidents/escalations, and surface growth opportunities while aligning priorities with client needs and seasonal sports rhythms.

Lead end-to-end CRM, CDP, and marketing automation implementations; design MarTech stacks; write technical specifications; collaborate with PMs and engineers; advise clients on data, attribution, and lifecycle optimization; map user journeys; support analytics and reporting; present technical topics to non-technical stakeholders.

Lead Wave's organic acquisition and website optimization strategy across traditional and AI search. Own SEO/AEO/GEO, site architecture, structured data, CRO, experimentation, and website performance. Partner cross-functionally to create search-informed content, improve conversion funnels, and establish reporting to drive qualified traffic, sign-ups, activation, and revenue growth.

The HR Workday Specialist configures Workday HCM modules, manages reporting, supports HR processes, enhances efficiency, and delivers workforce analytics solutions.

Manage and grow client relationships for multiple marketing accounts, coordinate campaign execution across paid media, SEO, content and email, report on KPIs, run client check-ins and strategy calls, identify upsell opportunities, and collaborate with internal teams to ensure retention and performance.

The Account Director will manage client relationships, oversee strategic planning, and ensure seamless integration of marketing efforts across the agency's travel accounts, focusing on digital marketing and performance outcomes.