Top Analytics Jobs in Vancouver

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 end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

Lead executive interviews, stakeholder workshops, and current-state assessments to identify operational gaps and opportunities. Develop business cases, operating models, governance, KPIs, roadmaps, and practical AI-enabled solutions. Advise on AI strategy, innovation, commercialization, customer experience, and change management. Support transition of recommendations to delivery teams and occasionally participate in business development.

Lead social-first strategy and execution for Walrus Foundation: manage daily social channels, plan campaigns and launches, run social listening, grow YouTube, coordinate KOLs/creators, support executive communications, activate events, and collaborate across marketing, product, and comms to deliver integrated campaigns.

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.

The Principal Product Manager will define product vision, roadmap, and strategy, ensuring operational excellence while delivering exceptional customer experience and measurable outcomes through cross-functional collaboration.

Partner with prospective and existing customers to lead technical discovery, design integrations and proofs of concept, run tailored demos, troubleshoot implementation issues, and translate customer feedback into product requirements while collaborating closely with sales, product, engineering, and customer success.

Lead a Value Realization Services organization to drive adoption, optimization, and measurable ROI of NICE CX solutions (quality, interaction/speech/text analytics, AI). Manage consulting delivery, operations, revenue, margins, KPIs, and cross-functional alignment while advising senior customer executives and ensuring customer transformation and long-term value.

Own and execute the product vision, roadmap, and delivery for core asset management and tracking software. Lead discovery, define requirements, prioritize backlog, collaborate with engineering/UX, engage customers, measure product metrics, and drive usability, reliability, and scalability improvements. Support launches and adoption with Product Marketing and Customer Success.

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.

Lead end-to-end implementations for mid-market and smaller enterprise customers, managing ~15 concurrent 4–8 week SaaS onboarding projects. Develop and execute implementation plans, align stakeholders, configure multi-module systems, drive change management, advise on best practices, and collaborate across CS, Sales, Product, Engineering, and Ops to ensure rapid time-to-value and strong customer outcomes.

Hands-on director-level product designer for enterprise SaaS who owns the design system, user psychology, dashboards, data visualizations, and habit-forming product mechanics. Designs workflows to drive adoption, retention, referrals, and expansion while partnering with Product, Engineering, Sales, and Customer Success. Prototypes, tests, and refines UX based on analytics and A/B experiments to align design with revenue metrics.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Lead and mature Solutions & Technical Implementation for Shopify clients: own technical discovery, solution architecture governance, scoping, QA, launch readiness, integrations, analytics/SEO considerations, client-facing technical guidance, and cross-functional coordination across Engineering, PM, SEO, and Analytics.

Drive full lifecycle technical recruiting in Canada: source, screen, and hire technical talent; build sourcing strategies and candidate pipelines; partner with hiring managers; evaluate technical and behavioral fit; manage ATS data and metrics; improve recruiting processes and candidate experience.

Lead PPC and SEO strategy and performance for multiple clients. Own audits, roadmaps, reporting, QA, and team oversight across paid and organic channels. Support sales, standardize playbooks, and build scalable marketing frameworks and dashboards.

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.

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.

The Channel Marketing Specialist will drive marketing strategies for Canada, collaborating with various teams to execute integrated marketing initiatives and optimize performance data while managing multiple projects.

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.

The GTM Lead for Insurance will build and manage enterprise insurance accounts, develop relationships with senior industry leaders, and shape sales strategies for AI solutions.

Lead technical strategy and execution for Ground News web properties to grow users and subscription revenue. Build and ship Next.js/React/TypeScript experiences, mature experimentation and marketing-tech tooling, enable non-engineers to self-serve landing pages and experiments, ensure performance, accessibility, and SEO, and steward analytics, feature-flagged rollouts, and frontend architecture as a senior IC.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.

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.