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 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 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. See more about our Pack Unity
here
.
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
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 our
entire
experience as
accessible 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 accommodation
by emailing [email protected].
View
our
Hiring Page
to 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.