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/an [ insert job title ] to be part of making this/that 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 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 believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. 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.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance.

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

All India wolves receive compelling compensation and benefits packages, including:

• 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

Security Requirements

• Conducts duties and 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) .

• Background checks are required for this position.

• This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.