GC AI
Analytics Engineer, Revenue
San Mateo, California
Sponsorship not specifiedDetected 14 days ago
PythonSQLBigQueryMachine LearningdbtData EngineeringData VisualizationCRMSalesForecastingValuationCustomer SuccessLeadershipCommunicationCollaboration
About the role
- Reporting to Emma Heist, Head of Revenue Operations, you will be GC AI's first dedicated analytics hire, working closely with Sales, Marketing, Customer Success, Finance, Product, and leadership to define how the company measures itself and where it focuses.
- We're looking for someone who combines strong technical chops in SQL, data modeling, and BI tooling with genuine curiosity about business operations and a knack for translating messy business questions into clean analytical frameworks.
Responsibilities
- Own the Analytical Modeling Layer: Design and maintain dimensional models (revenue, pipeline, product usage, retention, customer lifecycle) that make warehouse data usable for business teams.
- Partner with Data Engineering on schema design to ensure the warehouse serves analytical use cases.
- Create the Intelligence Layer: Build dashboards, reports, and self-serve analytics that give Sales, Marketing, Customer Success, Product, Finance, and leadership real-time visibility into the metrics that matter.
- Define KPIs, build attribution models, and create the single source of truth for company performance.
- Build Analytics Workflows: Build lightweight transformation and enrichment pipelines specific to analytics workflows (e.g., attribution logic, cohort tagging, KPI rollups) using dbt or similar tools.
- Implement data quality checks and governance practices to keep analytics accurate and trustworthy as we scale.
- Enable Data-Driven Culture: Partner with stakeholders across Revenue Operations, Finance, Product, and the exec team to understand their data needs, translate business questions into analytical frameworks, and make data accessible to non-technical users.
- 5+ years in data engineering, business intelligence, or analytics engineering roles in B2B SaaS, with hands-on experience building data infrastructure from early-stage or greenfield environments.
- Experience building and maintaining analytical data models, semantic layers, or transformation layers using tools like dbt, Looker modeling, or similar frameworks.
- Track record building dashboards and reporting in BI tools (e.g., Looker, Tableau, or Sigma) that business teams rely on daily.
Requirements
- Strong proficiency in SQL, with experience modeling data in cloud warehouses such as BigQuery or Snowflake.
- Working knowledge of Python for scripting and automation.
Nice to have
- Familiarity with product-led growth analytics, usage-based metrics, or AI/ML product instrumentation.
- Experience with data governance, data contracts, or data observability tooling (e.g., Monte Carlo, Great Expectations).
- We expect urgency, ownership, and good judgment even when things aren't perfectly clear.
- If you need structure and consensus to do your best work, this isn't the right place for you.
- If you thrive in ambiguity and growth, work with intensity, and want real responsibility, keep reading.
- We're excited to meet you.
- GC AI is a distributed company with team members across North America, and soon Europe.
- We believe that because our business is AI, human connection matters more, not less.
Benefits
- Own the analytical frameworks behind pipeline generation, sales forecasting, customer health scoring, retention analysis, and marketing attribution.
Company info
- Partner with stakeholders across Revenue Operations, Finance, Product, and the exec team to understand their data needs, translate business questions into analytical frameworks, and make data accessible to non-technical users.
- You'll be the go-to person when someone asks, "Where does this number come from?"
Equal opportunity
- GC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. #LI-GCAI
- To protect yourself against phishing and recruitment fraud, please note that GC AI only accepts job applications through our official careers page at https://gc.ai/careers and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @gc.ai http://gc.ai or @getgc.ai http://getgc.ai email address.
- GC AI will never:
- Refer you to external websites to apply
This listing is sourced directly from GC AI's careers page and normalized into a canonical job model.