Top Analytics Jobs in Vancouver

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.

The role involves managing product quality issues, leading a team to mitigate risks, driving continuous improvement, and enhancing customer experience through quality metrics and cross-functional collaboration.

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.

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.

Lead integrated financial planning, forecasting, and scenario modeling; own budgeting and management reporting; partner with Accounting and business leaders; support IPO readiness, M&A, investor/lender reporting, and systems/process improvements to improve forecast accuracy and reporting discipline.

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.

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 strategic customer analytics across acquisition, onboarding, engagement, retention, monetization, and expansion. Translate business questions into analytical plans, run experiments and advanced analyses, build dashboards and decision tools, partner with data science and BI, mentor analysts, and deliver executive-ready insights to drive growth, efficiency, and long-term customer value.

Lead enterprise data platform strategy and delivery, owning architecture, integration, governance, observability, and portfolio management. Manage a multi-disciplinary team to deliver scalable pipelines, curated data products, Power BI enablement, and AI/ML-ready datasets while engaging senior stakeholders and driving platform investment and operating standards.

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.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Director oversees outsourced business services at 3M, ensuring performance, governance, and alignment with Global Business Services while driving efficiency and continuous improvement in BPO operations.

The Customer Success Manager will educate clients on creative strategy, build relationships, and help maximize their use of Motion's platform through engagement and tailored support.

The Head of SMB Growth Marketing drives acquisition, conversion, and pipeline growth for SMBs by utilizing AI and implementing high-performing campaigns.

Lead a nine-person accounting team to own month-end close, prepare consolidated US GAAP financial statements, manage audits and tax support, perform technical accounting analysis, and improve accounting controls and reporting in a multi‑currency, project-driven environment.

Own analytics enablement by translating stakeholder questions into trusted, reusable metrics and semantic models. Build and maintain the metrics/semantic layer, validation, documentation, AI-accessible datasets, and pipelines to ingest new sources. Enable self-serve analytics and agentic LLM querying (Claude) while partnering with product, GTM, and executives.

Manage digital commerce analytics for e-commerce channels: own reporting, analyze sales/traffic/conversion/SKU performance, produce dashboards and presentations, support account managers, conduct promotion post-analysis, assist customer planning and deduction resolution, maintain data governance and reporting processes, and support cross-functional analytics projects.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, leverage ML models for in-depth analyses, define and test acquisition and partnership levers, and automate processes to improve operational efficiency and scalability.

Own the analytics function for a core business area (growth, product, AI, or partnerships). Define problems, build metrics/reports, run analyses and experiments, surface insights, and drive recommendations through to execution with cross-functional stakeholders.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, define acquisition and partnership levers, leverage machine learning for insights, and automate processes to improve operational efficiency and scale customer acquisition.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build reports/experiments, surface insights, and drive cross-functional decisions to improve key metrics end-to-end.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics/reports/experiments, surface insights, and drive decisions end-to-end to scale the business.