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 fora/an[insert job title] to be part of makingthis/thathappen.

Position Overview and Objective

We are looking for aSeniorAnalyst(Senior Individual Contributor)to help scale ourGTM Analyticsfunction byleading development of a unified revenue analytics narrativeandbuildingtrusted, reusable datarepositoriesinSnowflakeand enablingconsistent, governed metric definitionsthrough an enterprisesemantic 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 asingle,unifieddata and metrics foundationthatenables consistency across:

•Executive reporting and dashboards (Tableau)•Self-service analytics•AI/ML andSnowflake Cortexuse cases

You will combinedeep technical data modeling expertise,strong business context, andapplied data scienceto turn complex questions intoscalable, 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 maintaincurated Snowflake data modelsthat supportconsistentreporting, analysis, and AI workloads.

• Build robustdimensional models (facts/dimensions)with clearly defined grain and relationships.

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

• Design and maintain acentralized semantic / metrics layerthat defines how the business measures performance.

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

• Ensure the semantic layer is consumable acrossBI Tool, AI workflows, and downstream applications

• Partner with Corporate BI to Deliver Consistent Reporting at Scale

• Providewell-modeled, consumption-ready datasetsthat simplify dashboard development and reducereliance on calculations builtin Tableau

• Integrate Core GTM Systems (Salesforce + Clari)

• Develop scalable models fromSalesforcedata (opportunities, accounts, activities, users, territories)

• Enable AI-Ready Data Foundations (Snowflake Cortex + Advanced Analytics)

• Build datasets optimized for bothhuman analytics and machine consumption

• Createfeature-ready tablesand reusable data layers for ML use cases

• Structure data to supportSnowflake Cortex and AI-driven analytics,

• UsePython + SQLto 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 supportsperformance ondashboards

• 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 asemantic or metrics layer(dbt, Looker, or equivalent)

Data Science / Advanced Analytics

• StrongPython(pandas,numpy, scikit-learn; time series a plus)

• Experience indelivering 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 (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), andKununuTop Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over10,000 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 believe in diversity andinclusion andtruly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protectingpeople’sand 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. See more about our Pack Unityhere.

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.

AllIndiawolves 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

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make ourentireexperience asaccessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodationby emailing [email protected] Pageto learn more about our application process.

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.

Originally posted on Himalayas