Top Analytics Jobs in Vancouver

Design, build, and maintain company-wide Snowflake data assets and dbt data models. Define metrics and dimensions, implement reliable pipelines, enable self-service analytics, collaborate with stakeholders, ensure data quality, and document solutions to support reporting, dashboards, and analysis.

Bridge enterprise customers' legacy BI to Hightouch by reverse-engineering complex marketing reports, building reusable reporting frameworks, engineering and documenting semantic/context layers, ensuring accurate SQL generation, and training non-technical marketers while collaborating cross-functionally to deliver reliable, idempotent AI-driven analytics.

As the Lead Specialist, you will cultivate client relationships, manage complex intelligence projects, design synthetic environments, and guide operational improvements for mission-driven organizations.

The Senior Software Engineer will lead architectural design, develop APIs, mentor junior developers, improve CI/CD processes, and drive performance enhancements for mission-critical training applications.

As a Simulation Support Specialist, you'll build military simulation scenarios for EASE, translating objectives into setups, engaging with clients, and ensuring outputs reflect real-world operations.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

Lead presales engagements to design enterprise data platforms and governance on Microsoft Fabric and Azure Databricks. Conduct discovery workshops, architect governance with Purview/Unity Catalog, define AI-readiness and Copilot access, author proposals/RFP responses, run POCs/demos, and partner with sales and delivery teams to size and transition engagements to managed services.

Design, build, and maintain scalable data systems and ETLs on GCP; connect production data to business systems; generate analytics and ML-driven insights for GTM teams; work cross-functionally and introduce modern tools (Airflow, DBT, Presto, Hightouch).

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

Lead and grow a Sales & Marketing analytics team to build measurement infrastructure linking acquisition investment to subscription revenue. Own advanced marketing measurement (MMM, MTA, incrementality, experimentation), funnel and sales analytics, dashboards, and decision-support tools. Partner with cross-functional stakeholders and data teams to improve CAC, LTV, payback, and go-to-market ROI while advancing AI-enabled, self-serve analytics and automation to scale trusted, executive-ready insights.

Senior individual-contributor analytics role partnering with Sales and Partnerships to drive acquisition decisions. Lead funnel and channel analyses, experimentation, forecasting, impact evaluation, KPI governance, and scalable analytics. Translate ambiguous business questions into actionable recommendations, mentor analysts, build dashboards and decision tools, and collaborate with BI, Data Science, and cross-functional stakeholders to improve acquisition quality and efficiency.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.

The Executive IC, Product will lead product development from strategy through launch while utilizing AI to enhance user experience. This role focuses on building and shipping products directly to customers, impacting their success.

The Executive IC, Design will directly influence Motion's aesthetic across various platforms by producing high-quality designs and utilizing AI tools, while setting the craft standard for the team.

The Executive IC, Marketing will shape Motion's market presence through positioning, storytelling, and campaigns. They will experiment with ideas, build effective systems, and leverage tools for enhanced performance in AI-native marketing.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Drive net-new and expansion revenue for mid-market accounts using consultative sales. Own account management and churn, implement outbound programs, advise on performance creative workflows, coach SMB AEs, and ensure client satisfaction to grow adoption of Motion's AI-native platform.

Provide project accounting support for space mission projects including project costing, revenue recognition, invoicing, NetSuite project setup, monthly reporting, forecasting, government funding claims, month-end close support, and PO/subcontract tracking.

Lead monthly financial close and consolidation for international operations, including FX translation, intercompany eliminations, reconciliations, variance analysis and management reporting. Coordinate subsidiary submissions, maintain close processes and audit-ready documentation, support quarterly/annual reporting and audits, improve controls and partner with FP&A, Treasury, Tax and other teams.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.