Top Analytics Jobs in Vancouver

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads pre-sales and delivery, drives data-driven orchestration across CDP, CRM, analytics, personalization, ensures governance and security, and mentors teams while remaining billable.

Lead and mentor a team of analysts to deliver fraud, scams, and promo-abuse insights. Own metrics, run experiments, perform SQL-heavy analyses and modeling, translate findings into cross-functional recommendations, and leverage AI tools to scale fraud analytics.

Own Dutch’s product analytics and data engineering foundation, including event instrumentation, Segment and Amplitude pipelines, Snowflake and dbt models, orchestration, data quality, governance, and semantic metrics. Partner with product managers on experimentation, build dashboards and data marts, optimize infrastructure and costs, and provide trusted data for AI-powered features. This senior individual contributor role requires strong SQL, Python, analytics engineering, experimentation, and modern data stack expertise.

Evaluate, structure, and price consumer asset-backed transactions; develop capital structuring, pricing, and quantitative loan performance models; and provide insights supporting funding strategy and merchant pricing. Collaborate with Capital Markets, Treasury, Credit, Commercial, Product, Engineering, and other teams to guide funding, product, and business decisions.

Own the design and implementation of core systems for a pre-production F2P mobile live-service game. Responsibilities include progression, combat scaling, economy, rewards, loot tables, tuning tools, simulations, and in-engine implementation. The role collaborates with gameplay, combat, engineering, and production teams; documents systems; analyzes playtest and analytics data; and iterates toward shippable, scalable systems.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Lead analytics strategy and a high-performing team by translating business requirements into analyses, dashboards, reports, and data models. Define measurement strategies, apply advanced statistical techniques, communicate insights to senior leaders, enable self-service analytics, and mentor data professionals. The role requires strong SQL, Python or R skills, modern data warehouse experience—preferably BigQuery—and the ability to use AI to improve analytics workflows and outcomes.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

Leads presales activities for insurance software and geospatial analytics solutions, including customer discovery, requirements analysis, personalized demonstrations, presentations, proposals, RFP/RFI responses, and competitive materials. Partners with sales, product marketing, cloud operations, and professional services teams. Advises customers on cloud migration and integration requirements, supports implementation transitions, and presents at industry events. Requires substantial insurance-sector expertise, strong communication skills, AI enablement experience, and travel up to 50%.

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

Supports revenue strategy through advanced analytics, financial modeling, forecasting, dashboards, reporting, and data-driven recommendations. Partners with sales, services, marketing, finance, product, Salesforce, and BI teams to optimize processes, systems, and performance. Manages ad hoc analysis requests, Salesforce data stewardship, KPI monitoring, and executive-level presentations while translating complex datasets into actionable business insights.

The Business Analytics Specialist maintains and distributes business reporting, performs ad-hoc data mining, and analyzes financial performance metrics. The role develops and enhances reporting solutions using SQL, Excel Services, and Power BI; prepares monthly reports for senior management; interprets financial data; and supports decision-makers. It also involves light project management, collaboration with stakeholders, and ensuring accurate, timely reporting within business and regulatory requirements.

Owns marketing measurement across campaigns, channels, attribution, funnel health, and pipeline forecasting. Builds dashboards, attribution models, AI-assisted insights, propensity scoring, anomaly detection, and budget scenarios. Partners with marketing, sales, finance, data engineering, security, and legal to improve data quality, responsible AI usage, and investment decisions. Delivers executive reporting and mentors analysts.

Leads strategy, roadmaps, modernization, and execution across multiple public safety SaaS products or initiatives. Partners with Engineering, Design, Sales, Marketing, and customer-facing teams to deliver measurable value. Responsibilities include pricing, positioning, business cases, portfolio prioritization, AI and analytics adoption, complex releases, customer validation, executive communication, and mentoring product professionals. The role focuses on modernizing CAD or RMS platforms while ensuring usability, compliance, integration, and strategic business impact.

Lead and redesign the web production operating system for a high-volume direct-to-consumer business. Own intake, requirements, workflow, capacity planning, dependencies, AI-assisted production, quality control, team capability, and operational measurement. Improve request-to-launch speed, throughput, predictability, and first-pass quality while reducing rework and marketing launch delays. Partner closely with marketers, designers, developers, copywriters, and media buyers to standardize production and scale output without proportional headcount growth.

Consults with enterprise retail customers to understand business needs, design and demonstrate SaaS solutions, develop future-state roadmaps, scope statements of work, and support implementation handoffs. Partners with sales, product, engineering, project teams, and customer success to drive adoption, reduce implementation risk, and demonstrate measurable business value. Requires strong presentation, discovery, solution architecture, retail systems, and customer advisory skills.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Analyze and consolidate data from multiple systems, build scalable dashboards and executive reporting, define standardized metrics, ensure data quality, and translate complex datasets into actionable business insights. Partner cross-functionally with Sales, Marketing, Customer Success, Product, Finance, Operations, and Data Engineering to support decision-making and improve reporting processes.

Own and improve Elastic’s observability infrastructure across hosted cloud deployments. Responsibilities include Terraform-based infrastructure delivery, Python and Go development, production operations, incident response, on-call participation, RCA and postmortem writing, code and design reviews, mentoring, and improving operational documentation and processes. The role also involves operating Linux and containerized workloads, delivering complex projects independently, and maintaining secure, reliable platform infrastructure.

Analyzes pipeline, funnel conversion, campaign performance, retention, and revenue drivers across Sales, Marketing, and Client Success. Builds and maintains dbt models, data marts, quality controls, documentation, and BI-as-code assets using Salesforce and modern data-stack technologies. Partners with stakeholders to turn ambiguous questions into decisions and advances AI-agent workflows for faster analytics and reporting.

Shape Motion’s market presence through positioning, storytelling, product launches, and campaigns. Rapidly test marketing ideas, identify opportunities, scale successful initiatives, and build AI-native systems and workflows that multiply marketing effectiveness. The role is designed for an experienced marketing executive who wants to return to hands-on execution while helping define modern marketing at a fast-growing AI company.

Lead growth analytics strategy by applying statistical, machine learning, and econometric methods to marketing and sales data. Build attribution models, evaluate channel performance, guide budget allocation, unify data sources, and drive experimentation across acquisition, activation, and retention. Partner with marketing, product, sales, finance, and engineering while improving data tools, processes, and decision-making practices.

Leads complex full-stack software projects, designing scalable architectures and shipping end-to-end product features. Responsibilities include developing Python and Node.js APIs, working on React, Vue, and Ember front ends, writing maintainable and tested code, troubleshooting, documenting designs, mentoring engineers, collaborating cross-functionally, and participating in Agile development. The role also contributes to infrastructure, open-source projects, and customer-focused SaaS product improvements.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

Own end-to-end customer relationships across Western Canada in Energy, Mining, and Utilities. Drive high-velocity face-to-face engagement with CIOs/CDOs, generate pipeline, move use cases from POC to production, architect account expansion plans, manage complex multi-stakeholder sales cycles, and maintain accurate Salesforce CRM hygiene and forecasting.