Top Analytics Jobs in Vancouver

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage metrics, and iterate based on customer feedback. Document effective prompts and development patterns while collaborating across teams.

Leads Sales Development across North America and the UK, owning top-of-funnel pipeline performance, team integration, reporting, targeting, conversion, and revenue contribution. Builds scalable inbound and outbound motions, expands upmarket coverage, develops managers and representatives, and partners with Marketing, Sales, Finance, Risk, Compliance, Product, and Operations. Uses analytics, automation, and AI to improve prospecting and productivity while establishing rigorous planning, coaching, qualification, and performance standards.

Build and scale AI-first marketing enablement systems, workflows, integrations, playbooks, learning resources, and measurement dashboards. Own department-wide initiatives including AI transformation, onboarding, and acquisition integration. Evaluate and deploy tools with IT and Legal, establish governance and access controls, identify capability gaps, drive adoption, and measure outcomes such as productivity, engagement, and process effectiveness.

Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.

The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.

Owns the strategy and roadmap for semantic insurance data products supporting AI, analytics, automation, and enterprise applications. Defines canonical concepts, relationships, metadata, data quality standards, APIs, knowledge graphs, and AI-ready consumption patterns. Partners with engineering, architecture, data, AI, UX, customer success, and insurance stakeholders to translate complex P&C insurance needs into product capabilities, prioritize use cases, establish requirements, drive adoption, and measure business impact.

Own the Northern California enterprise sales territory and full sales cycle, from account prioritization and pipeline creation through technical validation, executive alignment, negotiation, and close. Build new accounts, expand existing relationships, lead complex technical sales involving storage, data infrastructure, AI/ML, analytics, and HPC, and manage POCs, business cases, partners, forecasts, and cross-functional resources. The role requires enterprise quota attainment, new-logo wins, complex deal experience, and technical credibility in object storage and adjacent platforms.

Supports Client Service Administration by optimizing workflows, developing reports and dashboards, implementing business solutions, and providing operational support. Acts as a subject matter expert who coaches colleagues and advances continuous improvement through data, automation, Power BI, Power Automate, and emerging AI technologies.

Leads a specialized enterprise sales team selling platform, data, analytics, AI, and extensibility solutions to CIO and CTO organizations. Responsibilities include coaching account executives, managing complex $500K+ ARR sales cycles, overseeing statements of work and technology roadmaps, forecasting revenue, modeling business performance, and coordinating co-selling with AWS, GCP, and global system integrators.

Lead complex enterprise sales cycles for Workday platform, data, analytics, AI, and extensibility solutions. Build executive relationships with CIOs and CTOs, develop account strategies and pipeline, translate technical priorities into business value, and close large multi-stakeholder deals. Coordinate presales, product, customer success, partners, and core account teams while advancing cloud, data, AI, integration, security, and enterprise transformation opportunities.

Own the strategy and roadmap for Affirm’s consumer credit experiences across shopping, repayment, and marketing. Lead discovery, experimentation, personalization, and cross-functional execution with Engineering, Design, Analytics, Credit, Marketing, Commercial, and Legal teams. Translate complex credit capabilities into intuitive consumer journeys, including prequalification and purchasing power experiences. Define success metrics and improve activation, conversion, repeat engagement, comprehension, and responsible access to credit.

Build and maintain GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline, and sales effectiveness. Partner with GTM analysts and stakeholders to establish trusted metrics, document data systems, enable self-service analytics, and develop AI-powered natural-language data tools. Translate complex data concepts for executives and engineers while advancing the GTM data roadmap.

Own the strategy, roadmap, delivery, pricing, and growth of Sprout Social’s Listening product. Drive adoption and competitive differentiation through customer discovery, market analysis, product investments, and cross-functional collaboration with Engineering, Design, Marketing, Sales, Customer Experience, and GTM teams. Establish success metrics, optimize usage and pricing opportunities, communicate product direction, and lead roadmap execution across distributed teams.

Build, maintain, and optimize responsive, conversion-focused websites, landing pages, and campaign assets. Translate marketing and design objectives into accessible, high-performing web experiences using HTML, CSS, JavaScript, and CMS platforms. Collaborate with marketing, design, SEO, and content teams; support CMS templates, integrations, forms, analytics, A/B testing, troubleshooting, technical SEO, and performance optimization.

Leads global total rewards strategy and an eight-person team across compensation, equity, benefits, retirement, executive compensation, job architecture, pay equity, governance, and HR technology. Advises executives, boards, and Compensation Committees; oversees scalable programs, international expansion, audits, acquisitions, and public-company readiness. Partners with Finance, Legal, and external advisors while advancing analytics, automation, AI, and platforms such as Pave.

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.

Leads Wenco’s global commercial strategy and organization, owning revenue growth, forecasting, customer retention, strategic accounts, partnerships, sales operations, and commercial performance. The role builds scalable processes, incentive programs, governance, and succession plans while developing regional and functional leaders. It partners with R&D, Marketing, Business Operations, Client Services, and Delivery to align product strategy with customer and market needs. The position reports to the President and CEO and requires substantial global travel.

Lead Android technical direction and build Kotlin experiences focused on user growth and subscription revenue. Partner with Growth, Marketing, CRO, and Sponsorships to run experiments, improve conversion, and enable self-service marketing tools. Own the mobile marketing technology stack, funnel instrumentation, analytics, feature flagging, safe rollouts, performance, accessibility, architecture, and code quality for a consumer app serving millions of readers.

Build and manage scalable partner marketing programs that generate demand and pipeline. Own partner segmentation, messaging, joint campaigns, partner enablement, budget allocation, and MDF investments. Measure partner-sourced and partner-influenced pipeline, engagement, and ROI while coordinating with Channel, Demand Generation, Product Marketing, Sales, Content, and Revenue Operations. Improve workflows through AI and automation in a fully remote, global environment.

Own the strategy, roadmap, and business outcomes for mid-market customer experience products serving businesses and BPO operators. Lead customer discovery, prioritize omnichannel and AI-powered capabilities, partner with cross-functional teams through delivery and launch, establish success metrics, drive adoption, and influence executives through data-driven recommendations. Focus areas include shared inboxes, agent workspaces, workflow automation, routing, analytics, and customer interaction platforms.

Leads complex enterprise sales cycles for Workday platform, data, analytics, AI, and extensibility solutions. Builds executive relationships with CIOs and CTOs, develops account strategies and pipeline, translates technical priorities into business value, and coordinates presales, product, customer success, partner, and sales teams. The role requires selling complex SaaS solutions, closing large multi-stakeholder deals, and collaborating with cloud, systems integration, and technology ecosystem partners.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Designs and delivers Master Data Management solutions for consulting clients. Defines solution architecture, data models, governance strategies, integrations, infrastructure, testing, and performance optimization. Advises business and technology teams, leads internal and partner resources, coordinates with project managers, conducts solution reviews and training, and supports implementation across multiple client engagements. Requires substantial MDM, Syndigo PIM, Java, database, consulting, project leadership, and business analysis experience.

Develop and maintain relationships with existing medium enterprise customers, driving add-on sales and renewals of Workday solutions. Responsibilities include account planning, strategic deal management, C-suite negotiations, long-term account strategy, and coordination with presales, marketing, technical, and sales support teams. The role focuses on consultative SaaS and cloud solution selling through extended sales cycles and large enterprise deals.