Senior Sales Analyst

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🕒 June 12

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Arctic Wolf

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

📋 Description

• 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

🎯 Requirements

• 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

🏖️ 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