Sales & Marketing Analytics, Senior Manager

At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've 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 & Marketing Analytics, Senior Manager to be a part of making this happen.

About the Role

The Sales & 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.

Responsibilities

Strategic Leadership

• Partner with Product and Finance to define and standardize enterprise KPI reporting, ensuring a single source of truth at the executive level

• Drive cross-functional growth initiatives and standardized Reporting across Pricing & Packaging, Retention, Expansion, Product Performance

• Translate operational data into executive-ready insights, enabling faster, smarter business decisions

• Serve as the primary analytics liaison to Finance, ensuring alignment on forecasting, ARR modeling, and bookings

Data Quality, Reporting Consistency, Self-Service Reporting

• Own the connection between analytics and sales operations workflows including Salesforce into Snowflake dataflows

• Maintain and mature Certified Datasets in partnership with BI teams

• Proactively identify data gaps, process inefficiencies, and opportunities to improve the way sales teams operate through analytics

Product Analytics

• Own and mature Product-level reporting, developing deep understanding of performance trends across product hierarchies.

• Collaborate with Product and Product-Marketing marketing to align and standard reporting on quarterly initiatives, roadmap, and playbooks

• Lead Corporate QBR Product-Level reporting surfacing insights that drive strategic product decisions

AI & Efficiency Programs

• Leverage AI and automation to streamline reporting, anomaly detection, and insights generation for Sales and Marketing

• Build a scalable, programmatic approach to AI adoption in analytics — moving from one-off experiments to scalable, repeatable capabilities

• Partner with stakeholders to identify AI use cases that directly improve sales and finance operations efficiency

• Build scalable frameworks and tools that ensure data accuracy, trust, and actionability for the business and the KPIs defined

• Establish cross-functional governance processes for Sales and Marketing datasets for the rest of the organization to leverage.

Who You Are​

• Deep understanding of sales operations processes: pipeline management, bookings, renewals, quota attainment, territory structures

• Strong grasp of Data Architecture and governance principles

• Proven ability to distill complex data into simplistic, actionable insights for business users

• Track record of executing complex initiatives end-to-end, balancing technical depth with strategic influence

• Comfortable working as an individual contributor.

Minimum Qualifications

• 8+ years of hands on analytics experience with expert-level SQL (Snowflake), Salesforce data structures, and BI tools (Tableau)

• Experience with AI/ML in analytics (e.g., anomaly detection, predictive modeling, NLP for reporting automation

• Proven ability to present to executive and C-level stakeholders.