Senior Analytics Engineer, GTM
Senior Analytics Engineer supporting GTM functions by building data models, dashboards, and self-service analytics in Salesforce and modern warehouses. Owns metrics, insights, and AI-enabled workflows for Sales, RevOps, and Finance.
What You'll Be Doing
- Own and develop core data models, datasets, and dashboards that serve as the foundation for GTM reporting and decision-making
- Enable a single source of truth for GTM metrics by partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic
- Deliver insights and recommendations that improve GTM performance and inform strategic decisions
- Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
- Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
- Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact
What You Bring Along
- 5+ years of experience in analytics, BI, or data roles within a SaaS or technology company
- Experience supporting GTM, sales, or revenue operations functions and working directly with Salesforce and related GTM systems
- Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
- Experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery
- Proficient in Python for data analysis, automation, or workflow development
- Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
- Communicates clearly and can translate complex data into actionable business insights
- Comfortable operating in ambiguity and taking ownership of open-ended problems
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