Top Analytics Jobs in Vancouver

Own production-grade analytics pipelines from design through maintenance, build dbt-based analytical models using Kimball dimensional modeling, and deliver reliable data features. Partner with Product, Engineering, and Data Science teams to translate retail signals into business insights. Establish standards for monitoring, documentation, reproducibility, and code quality. Use AI tools to accelerate development and prototype conversational data experiences for natural-language retail data exploration.

Own the analytical function for a core business area such as growth, product, AI, or partnerships. Define business questions and metrics, build reports, conduct analyses and experiments, surface insights, and drive leadership decisions and outcomes. The role requires independently structuring ambiguous problems, communicating recommendations persuasively, and executing initiatives end to end.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires strong independent analytical skills, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process optimization. Partners with marketing, product, and business development teams; designs and analyzes A/B tests; applies machine learning and SQL-based analysis to generate strategic insights and improve operational efficiency.

Drive data-informed decisions across growth, product, marketing, and business development initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying scalable acquisition and partnership levers, extracting insights with machine learning models, and automating manual processes to improve operational efficiency.

Lead data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process automation. Partner with marketing, product, and business development teams; design and analyze A/B tests; use SQL and machine learning models to generate insights; and communicate recommendations to stakeholders from frontline teams through executives.

Own the analytical function for a business unit across growth, product, AI, automation, or strategic partnerships. Define business questions and metrics, build reports, run analyses, design experiments, surface insights, and drive decisions through execution. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Drive data-informed decisions across business initiatives, including carrier growth, product launches, user acquisition, and partnerships. Lead A/B experiment design and analysis, identify profitable growth levers, generate customer and business insights, and automate manual processes to improve operational efficiency. Collaborate with marketing, product, and business development teams while communicating recommendations to audiences ranging from frontline employees to executives.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; recommend actions; and drive decisions and outcomes with cross-functional leadership. The role requires strong independent data skills, first-principles problem solving, persuasive communication, and ownership of ambiguous high-impact initiatives.

Build and maintain production-grade dbt data models and pipelines across ingestion, transformation, and visualization. Partner with Finance, Engineering, Sales, Product, and Marketing to deliver reliable data for reporting and decision-making. Improve manual workflows, validate data accuracy, and design scalable solutions using modern data modeling practices. Support financial and revenue-related analytics, including ARR and revenue recognition, while balancing immediate fixes with long-term architecture.

As a Product Manager at Reflow, you will lead product strategy, execution, and delivery while ensuring customer engagement and managing engineering dependencies in an early-stage startup environment.

The Enterprise Partnerships Lead will manage the sales process to health systems, engaging C-suite leaders, and expanding partnerships while driving AI adoption.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

Owner-driven frontend engineer who builds globalization infrastructure and user-facing growth experiments across acquisition, onboarding, SEO, checkout, and retention. Work includes multilingual SEO, localization workflows, locale-aware routing, performance optimizations, analytics-driven A/B tests, and improving international monetization and conversion.

The Customer Engagement Analyst role involves configuring the unitQ platform, conducting analyses, building customer-facing artifacts, and collaborating with teams to address customer needs.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Own the AI and data product roadmap, prioritize and sequence development with engineering and founders, ship trustworthy AI experiences, drive adoption, define feature success metrics, evaluate outcomes, and manage the analytics foundation. The role requires technical fluency in AI, prior software engineering experience, production AI product delivery, strong product judgment, and comfort working in a fast-paced, remote startup environment.

Lead pricing analytics for international market expansion: define pricing strategy, structure platform deals, perform economic analyses, run experiments, monitor and iterate pricing and offerings, and partner with cross-functional teams (Product, Credit, Finance, Engineering, Strategic Partnerships).

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.

Partner with sales to gather customer requirements, design and demo Upshop SaaS retail solutions, scope SOWs, draft deliverables, lead discovery sessions, provide SME guidance, maintain demo environments, and hand off to project and customer success teams. Act as trusted advisor to executives, develop future-state roadmaps, reduce implementation risk, and support sales events and trade shows. Travel up to 30%.

Execute, optimize, and analyze multichannel B2B digital demand-generation campaigns across paid, organic, search, CRM, and programmatic channels. Manage campaign setup, targeting, tracking, governance, reporting, and agency coordination. Analyze metrics such as MQLs, MQAs, CPL, conversion efficiency, influenced pipeline, and ROI, translating findings into optimization recommendations and actionable business insights.

Build LanceDB’s revenue marketing function and enterprise demand engine from the ground up. Own account-based marketing strategy, segmentation, campaigns, content, account planning, martech implementation, pipeline reporting, and partner co-marketing. Identify high-intent accounts through open-source and product-usage signals, create tailored omnichannel programs, and collaborate closely with founders, Sales, RevOps, and Partners to source and influence enterprise pipeline.

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.

Leads Sales and Marketing Analytics by managing analysts, setting the analytics roadmap, and guiding measurement strategy across acquisition, demand generation, sales, partnerships, and revenue funnels. Owns frameworks for attribution, incrementality, forecasting, marketing mix modeling, CAC, LTV, and ROI. Partners with senior leaders and data teams to deliver trusted reporting, executive insights, self-serve analytics, automation, and responsible AI-powered decision support.