Own the Data Warehouse : Maintain and optimize our centralized data warehouse (Snowflake), ensuring reliability, scalability, and data integrity across the business.
Product Data Infrastructure : Design and manage robust pipelines that capture and structure product usage data for downstream analysis and GTM use cases.
GTM System Enablement : Partner with GTM Operations to design and maintain data syncs from the warehouse into Salesforce, HubSpot, and other operational tools, supporting segmentation and automation.
Reporting & Dashboards : Build and maintain self-serve dashboards and custom reports in BI tool (Metabase) to empower stakeholders with accurate, timely insights.
Drive Analytics Across PLG and PQL Motions : Build visibility into activation journeys, usage health, key product signals, and retention metrics to identify product-qualified leads, inform growth strategies, improve user adoption, and strengthen long-term engagement.
Cross-functional Collaboration : Partner closely with Product, Engineering, Sales, Marketing, and GTM Operations to understand data needs and deliver reliable solutions.
Data Governance & Quality : Implement best practices in data validation, documentation, and source-of-truth definition.
Product Alerts : Help with customer facing in-product alerting and recommendations based telemetry indicators.
Requirements
5+ years of experience in data science, analytics engineering, or a similar role.
Strong understanding of PLG and PLS motions.
Deep proficiency in SQL and experience working with modern data stacks (dbt, Snowflake, Segment, etc.).
Demonstrated ability to work cross-functionally with GTM teams and translate business needs into scalable data solutions.
Looking to take ownership with strong builder mentality
Experience with Snowflake, Metabase, Segment, HubSpot, Salesforce, Mixpanel