Top Analytics Jobs in Vancouver

Lead revenue operations and business insights by owning GTM and revenue data integrity. Build reporting and AI-driven insights, run billable usage analysis, manage data flows with Fivetran/Salesforce/Sigma, investigate billing disputes, and translate data into actionable narratives for leadership.

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.

Lead the buildout of a centralized marketing analytics function: consolidate multi-unit data, define KPIs and governance, develop pipelines and dashboards, improve attribution, create forecasting and testing frameworks, and deliver insights to optimize acquisition and marketing ROI.

As a Senior Data Scientist in Marketing Analytics, you'll partner with Marketing to solve problems, design data-driven solutions, lead experimentation, communicate insights, and operationalize solutions for business impact.

The GTM Analytics Lead will drive data-driven decisions across marketing, sales, and finance, optimizing performance and ensuring sustainable revenue growth through analysis and real-time insights.

Lead complex people-analytics work: design actionable dashboards, apply rigorous research methods, translate analysis for executives, advise HR leaders, build AI-driven workflows, and work hands-on with Visier, Snowflake, SQL, and Python/R.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

Lead end-to-end process mapping and analysis using BPMN and process mining tools. Conduct RCA and variance analysis, document As-Is/To-Be processes, identify automation opportunities, create BRDs, use task mining and simulation to model workflows, collaborate with cross-functional teams, prepare executive reports, and facilitate workshops and stakeholder interviews.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Senior individual contributor in People Analytics leading workforce analysis, dashboards, data quality, and insight generation to inform HR and business decisions. Partners with talent, engagement, and planning teams to produce scalable analytics, benchmarks, and recommendations.

Lead product strategy for Analytics and Experiments, owning roadmaps for charts, benchmarking, dashboards, predictive LTV, and experimentation infrastructure. Partner with engineering and data teams to design, ship, and iterate on metrics, A/B tests, targeting, rollout, and insights to help developers grow revenue.

The Senior Data Analytics Engineer will develop reporting solutions, perform data analysis, improve data quality, and collaborate with stakeholders to enhance business metrics understanding. They should have strong SQL skills and at least 7 years of experience in analytics roles.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

The Account Executive will develop and implement sales strategies, manage relationships with vendors, and drive growth through effective prospecting and client engagement.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead pricing, packaging, and monetization strategy across on-prem, SaaS, and appliance products. Own product line performance, market and competitive analysis, forecasting, and pricing governance. Partner cross-functionally with Product, Sales, Finance, and Operations to guide subscription and consumption transitions, support complex enterprise deals, and deliver executive reporting to inform portfolio investment decisions.

As Analytics Lead, you'll drive data-informed decision-making, lead measurement strategies, mentor teams, and oversee analytics infrastructure, impacting client strategies.

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.

As a Senior Analytics Engineer, you will design the financial data backbone, integrating ERP data, building profitability models, and enabling data-driven planning in collaboration with Finance and Operations.