Senior Sales Analyst

This is a fully remote position, open to applicants in India.

📋 Description

• Develop and Manage Snowflake Data Products for GTM Analytics

• Create, enhance, and oversee curated Snowflake data models that facilitate consistent reporting, analysis, and AI workloads.

• Construct robust dimensional models (facts/dimensions) with well-defined grain and relationships.

• Establish and Expand the Semantic Layer (Single Source of Truth)

• Design and manage a centralized semantic/metrics layer that delineates how the business measures performance.

• Define standard GTM metrics (pipeline, ARR, conversion, forecast categories)

• Ensure the semantic layer is accessible across BI Tools, AI workflows, and downstream applications.

• Collaborate with Corporate BI to Deliver Consistent Reporting at Scale

• Provide well-structured, consumption-ready datasets that streamline dashboard development and minimize reliance on calculations made 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)

• Construct datasets optimized for both human analytics and machine utilization.

• Create feature-ready tables and reusable data layers for machine learning applications.

• Organize data to support Snowflake Cortex and AI-driven analytics.

• Utilize Python + SQL to develop reproducible, production-oriented workflows.

• Implement Git-based workflows, code reviews, CI/CD, and testing strategies.

⛳️ Requirements

• Snowflake: extensive expertise in data modeling, performance optimization, and scalable design.

• dbt: hands-on experience in creating modular models, tests, and semantic/metrics layers.

• Tableau: solid understanding of how modeled data enhances performance on dashboards.

• Salesforce: experience in modeling GTM data (pipeline, opportunity lifecycle, ownership).

• Clari: familiarity with forecast data structures and analytical use cases.

• SQL (Advanced): expert-level transformation and debugging skills.

• Strongly Preferred: Snowflake Cortex: experience or a robust understanding of LLM-powered analytics patterns and AI-ready data design.

• Snowpark (Python) for scalable in-warehouse workflows.

• Experience in implementing a semantic or metrics layer (dbt, Looker, or similar).

• Data Science / Advanced Analytics.

• Strong Python skills (pandas, numpy, scikit-learn; time series experience is a plus).

• Experience in delivering applied ML: regression/classification, forecasting models, segmentation, and clustering.

🏝️ Benefits

• 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.