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, Experience
Requirements
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 .
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.
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.
If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.
And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies) .
Benefits
All India wolves receive compelling compensation and benefits packages, including:
Equity for all employees
Flexible annual leave, paid holidays and volunteer days
benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
Fertility support and paid parental leave
Contact
Please let us know if you require any accommodation by emailing recruiting@arcticwolf.com.
Additional details
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.
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/an [ insert job title ] to be part of making this/that happen.
This role sits at the center of our analytics ecosystem and will partner closely across:
Data Engineering and Platform teams The objective is to create a single, unified data and metrics foundation that enables consistency across :
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.
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 ).