At Arctic Wolf, were not just navigating the cybersecurity landscape - were redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: weve earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations. Our mission is simple: End Cyber Risk. We’re looking for a Sales &amp; Marketing Analytics, Senior Manager to be a part of making this happen.About the RoleThe Sales &amp; Marketing Analytics, Sr Manager is looking for the next step in their career as strategic leader driving enterprise-wide insights. In this role, you’ll partner cross-functionally with Product, Finance, and Sales to define KPI frameworks, mature product analytics, and lead AI-driven efficiency programs — all while shaping the future of data-driven decision-making at the executive level.ResponsibilitiesStrategic Leadership<ul><li>Partner with Product and Finance to define and standardize enterprise KPI reporting, ensuring a single source of truth at the executive level</li><li>Drive cross-functional growth initiatives and standardized Reporting across Pricing &amp; Packaging, Retention, Expansion, Product Performance</li><li>Translate operational data into executive-ready insights, enabling faster, smarter business decisions</li><li>Serve as the primary analytics liaison to Finance, ensuring alignment on forecasting, ARR modeling, and bookings</li></ul>Data Quality, Reporting Consistency, Self-Service Reporting<ul><li>Own the connection between analytics and sales operations workflows including Salesforce into Snowflake dataflows</li><li>Maintain and mature Certified Datasets in partnership with BI teams</li><li>Proactively identify data gaps, process inefficiencies, and opportunities to improve the way sales teams operate through analytics</li></ul>Product Analytics<ul><li>Own and mature Product-level reporting, developing deep understanding of performance trends across product hierarchies.</li><li>Collaborate with Product and Product-Marketing marketing to align and standard reporting on quarterly initiatives, roadmap, and playbooks</li><li>Lead Corporate QBR Product-Level reporting surfacing insights that drive strategic product decisions</li></ul>AI &amp; Efficiency Programs<ul><li>Leverage AI and automation to streamline reporting, anomaly detection, and insights generation for Sales and Marketing</li><li>Build a scalable, programmatic approach to AI adoption in analytics — moving from one-off experiments to scalable, repeatable capabilities</li><li>Partner with stakeholders to identify AI use cases that directly improve sales and finance operations efficiency</li><li>Build scalable frameworks and tools that ensure data accuracy, trust, and actionability for the business and the KPIs defined</li><li>Establish cross-functional governance processes for Sales and Marketing datasets for the rest of the organization to leverage.</li></ul>Who You Are​<ul><li>Deep understanding of sales operations processes: pipeline management, bookings, renewals, quota attainment, territory structures</li><li>Strong grasp of Data Architecture and governance principles</li><li>Proven ability to distill complex data into simplistic, actionable insights for business users</li><li>Track record of executing complex initiatives end-to-end, balancing technical depth with strategic influence</li><li>Comfortable working as an individual contributor.</li></ul>Minimum Qualifications<ul><li>8+ years of hands on analytics experience with expert-level SQL (Snowflake), Salesforce data structures, and BI tools (Tableau)</li><li>Experience with AI/ML in analytics (e.g., anomaly detection, predictive modeling, NLP for reporting automation</li><li>Proven ability to present to executive and C-level stakeholders.</li></ul>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 (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 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 <a href="https://arcticwolf.com/company/careers/diversity-equity-inclusion-and-belonging/" target="_blank">here</a>.    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 wolves receive compelling compensation and benefits packages, including:  <ul><li>Equity for all employees </li><li>Flexible time off and paid volunteer days </li><li>RRSP and 401k match </li><li>Training and career development programs </li><li>Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&amp;D, and value-added services </li><li>Robust Employee Assistance Program (EAP) with mental health services </li><li>Fertility support and paid parental leave  </li></ul>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 employee 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 accommodations by emailing <a href="mailto:recruiting@arcticwolf.com.%E2%80%AF" target="_blank">recruiting@arcticwolf.com. </a>  Security Requirements  <ul><li>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). </li><li>Background checks are required for this position.  </li><li>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. </li></ul>