Senior Sales Analyst - IN

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations,   Arctic Wolf is the right place for you ! Our mission is simple: End Cyber Risk. We’re looking for   a Senior Sales Analyst to be part of making   this happen.      Position Overview and Objective We are looking for a   Senior   Analyst   (Senior Individual Contributor)   to help scale our   GTM Analytics   function by   leading development of a unified revenue analytics narrative   and   building   trusted, reusable data   repositories   in   Snowflake   and enabling   consistent, governed metric definitions   through an enterprise   semantic layer . This role sits at the center of our analytics ecosystem and will partner closely across: •   GTM Analytics (Sales, Marketing,   RevOps , Finance) •   Corporate BI / centralized reporting teams •   Data Engineering and Platform teams The objective is to create a   single,   unified   data and metrics foundation   that   enables consistency across : •   Executive reporting and dashboards (Tableau) •   Self-service analytics •   AI/ML and   Snowflake Cortex   use cases You will combine   deep technical data modeling expertise ,   strong business context , and   applied data science   to turn complex questions into   scalable, productionized data systems , allowing us to craft a business narrative across diverse teams . Responsibilities 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 Experience & 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 On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-202 5 ), Best Places to Work – USA (2021-202 5 ), Great Place to Work – Canada (2021-202 4 ), Great Place to Work – UK (2024 - 2026 ), and   Kununu   Top Company – Germany ( 2024- 202 6 ). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over   10 ,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values    Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We