Build and Own Snowflake Data Products for GTM Analytics
Design, develop, and maintain curated Snowflake data models that support consistent reporting, analysis, and AI workloads.
Build robust dimensional models (facts/dimensions) with clearly defined grain and relationships.
Establish and Scale the Semantic Layer (Single Source of Truth)
Design and maintain a centralized semantic / metrics layer that defines how the business measures performance.
Define canonical GTM metrics (pipeline, ARR, conversion, forecast categories)
Ensure the semantic layer is consumable across BI Tool, AI workflows, and downstream applications
Partner with Corporate BI to Deliver Consistent Reporting at Scale
Provide well-modeled, consumption-ready datasets that simplify dashboard development and reduce reliance on calculations built in Tableau
Integrate Core GTM Systems (Salesforce + Clari)
Develop scalable models from Salesforce data (opportunities, accounts, activities, users, territories)
Enable AI-Ready Data Foundations (Snowflake Cortex + Advanced Analytics)
Build datasets optimized for both human analytics and machine consumption
Create feature-ready tables and reusable data layers for ML use cases
Structure data to support Snowflake Cortex and AI-driven analytics
Use Python + SQL to build reproducible, production-oriented workflows
Git-based workflows and code reviews, CI/CD and testing strategies

Snowflake: deep expertise in data modeling, performance optimization, and scalable design
dbt: production experience building modular models, tests, and semantic/metrics layers
Tableau: strong understanding of how modeled data supports performance on dashboards
Salesforce: experience modeling GTM data (pipeline, opportunity lifecycle, ownership)
Clari: familiarity with forecast data structures and analytics use cases
SQL (Advanced): expert-level transformation and debugging capabilities
Strongly Preferred: Snowflake Cortex: experience or strong understanding of LLM
powered analytics patterns and AI-ready data design
Snowpark (Python) for scalable in-warehouse workflows
Experience implementing a semantic or metrics layer (dbt, Looker, or equivalent)
Data Science / Advanced Analytics
Strong Python (pandas, numpy, scikit-learn; time series a plus)
Experience in delivering applied ML: regression/classification, forecasting models, segmentation and clustering

Equity for all employees
Flexible annual leave, paid holidays and volunteer days
Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
Fertility support and paid parental leave
Employee Assistance Program

Senior Sales Analyst

Key skills