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Salary: USD 149,000 - 205,000 / annual
Motive is a B2B SaaS platform that empowers physical operations teams—including safety, operations, and finance—with tools to manage drivers, vehicles, equipment, and fleet-related spend in a single system. 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 the data strategy and execution for go-to-market metrics, working closely with sales, sales operations, and finance teams to ensure accurate, reliable data and a single source of truth for GTM and growth metrics.
Key responsibilities include:
- Drive the GTM data roadmap to build scalable, durable data products
- Build and maintain critical data pipelines and marts powering company-wide GTM metrics such as headcount modeling, quota attainment, and pipeline tracking
- Design insightful, reliable dashboards that track core performance metrics and deliver insights across the organization
- Collaborate with GTM analyst teams to train and enable them on datasets and data tools
- Write excellent documentation and tutorials to support data literacy
- Work across the full analytics stack, from ad-hoc analysis to architecting production pipelines
- Build semantic models and run evaluations to power AI tools that allow sales operators to query business data in natural language
- Leverage AI-assisted development tools to move fast while maintaining clean, maintainable code and documentation
- Communicate complex data concepts clearly and persuasively through technical specs, dashboards, and presentations to align teams on metrics and definitions
Requirements:
- 7+ years of experience in data engineering, data analytics, or analytics engineering
- Deep expertise in data modeling and data warehouse design
- Expert-level SQL skills and hands-on 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)
- Proven track record working with sales, sales operations, sales compensation, and finance teams
- Experience building with AI tooling for data, including semantic models, context management systems, and evaluations
- Meticulous attention to detail
- Self-starter capable of self-project management
- Exceptional written and verbal communication skills; comfortable engaging with both business executives and engineers, translating between technical and business stakeholders at IC and senior levels
