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Salary: CAD 156,000 - 205,000 / annual
Motive empowers physical operations teams with a unified platform for safety, operations, and finance management. The company serves nearly 100,000 customers across transportation, logistics, construction, energy, field service, manufacturing, agriculture, food & beverage, retail, and public sector.
As Senior Analytics Engineer - GTM, you will report to the Director of Business Intelligence and join a centralized global analytics team. You'll own data pipelines and analytics for the go-to-market function, ensuring accurate data and a single source of truth for GTM and growth metrics. This role combines deep domain expertise in sales and GTM operations with technical data skills in analysis, pipeline building, and data modeling.
Key responsibilities:
- Drive the GTM data roadmap to build scalable, durable data products
- Build and maintain key data pipelines and marts powering core company-wide GTM metrics (headcount modeling, quota attainment, pipeline)
- Create insightful, reliable dashboards tracking performance of core metrics for company-wide visibility
- Collaborate with GTM analyst teams to train and enable them on datasets and data tools
- Write excellent documentation and tutorials
- Work across the full analytics stack from ad-hoc analysis to architecting pipelines
- Build semantic models and run evaluations to power AI tools enabling sales operators to query business data in natural language
- Use AI-assisted development tools to move fast while maintaining clean, maintainable code and documentation
- Communicate complex data concepts clearly through technical specs, dashboards, and presentations to align teams on metrics and definitions
Requirements:
- 7+ years experience in data engineering, data analytics, or analytics engineering
- Deep expertise in data modeling and data warehouse design
- Expert-level SQL skills and experience with columnar analytics databases (Snowflake, BigQuery)
- Expert-level knowledge of Salesforce's data model and other GTM systems
- Experience with dbt and Git
- Experience with business intelligence tools (Hex experience is a bonus)
- Experience working with sales, sales operations, sales compensation, and finance teams
- Experience building with AI tooling for data (semantic models, context management systems, evals)
- Meticulous attention to detail
- Self-starter with ability to self-project manage work
- Exceptional written and verbal communication skills; comfortable speaking with business executives and engineers, translating between technical and business groups at IC and senior stakeholder levels
