Senior Marketing Data Analyst, Abnormal AI

• Experience: 7+ years in Marketing Analytics, BizOps, or Data Science within B2B SaaS
• The “Senior Strategic Partner" Factor: Proven ability to influence executive decisions through data. You don't just supply data; you change minds by exercising "Business Judgment," not just "Data Retrieval"
• Technical Stack: Expert-level SQL, deep knowledge of Agent Development, Snowflake / Sigma or similar. Deep proficiency with modern cloud data warehouses (Snowflake) and BI tools (Sigma is a strong plus)
• Business Acumen: Deep understanding of B2B Marketing and Pipeline funnels (MQL to Closed Won), Attribution models (Multi Touch is a plus), and ABM metrics (6Sense/Demandbase)
• Data Science (nice to have): Basic experience and knowledge in building ML based models that can feed context to our agents
• AI Curiosity: Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling
• The "Detective" Mindset: You are uncomfortable when the numbers don't make sense and won't stop digging until you find the root cause

Desirable

• We have built the engine (Snowflake, Sigma, Marketing Automation Platforms), and now we need you to drive the strategic analysis. Abnormal Security is looking for a Lead Marketing Data Analyst who is part detective, part data architect, and part business consultant
• In this role, you will own the system, the signal, and the initial theories regarding performance anomalies. You will not just report numbers; you will uncover the "Why" behind our performance
• You will partner with our BI Architects and Revenue Marketing leaders to diagnose funnel friction, pioneer our shift from static dashboards to AI-driven "Ask Anything" agentic analytics, and ensure optimal capital allocation
• Crucially, you will provide first-pass diagnoses of data trends so our GTM Strategy & Analytics team can make swift, validated business decisions
• Strategic Insights & Root Cause Analysis:
• Go beyond "what happened" to uncover "why it happened" by proactively identifying trends in campaign performance, pipeline velocity, and conversion rates
• Own the "First Pass" diagnosis: Identify material variances and provide initial possible theories (e.g., ICP mismatch, routing error, or underperformance of expected MQL results)
• Quantify the impact of these trends and propose possible corrective actions (The Math + The Logic) to hand off to GTM Strategy for fiscal validation and final decision (The Business + The Budget)
• Partner with the Field, Digital, Strategic Events, Integrated Campaigns & Channel Marketing teams to optimize territory-based performance using the new Multi-Touch Attribution (MTA) models
• Data Integrity, Funnel Science & Day-to-Day Operations:
• Maintain reporting hygiene, standard funnel conversion metrics, and recurring dashboards while monitoring performance versus plan
• Act as the "Check Engine Light" for the GTM engine by monitoring data flows between Marketo, Salesforce, 6Sense, and Snowflake to identify silent failures or data quality erosion
• Analyze the "Golden Path" to revenue to determine the optimal mix of touches (digital, event, human) that accelerates a prospect from "Engaged" to "Closed Won"
• Validate the output of our AI Agents (e.g., Account Matching, Email Personalization) to ensure automated decisions are accurate
• Architecting and Maintaining the "AI Analyst":
• Lead the transition from static reporting to dynamic, AI-driven insights by building and training AI agents to automate L1/L2 data questions
• Build and maintain the semantic layer in Sigma/Snowflake that powers our "Ask Anything" capability, ensuring the AI understands our complex B2B business logic (Buying Stages, 6QA, Deal DNA)
• Apply your deep understanding of business logic to train the "Ask Anything" AI Agent so it effectively thinks like a strategist
• Design "agents, data structures and functionality" that not only answer questions but suggest the next logical question to the user
• Stakeholder Partnership:
• Serve as the primary data consultant for the Revenue Marketing leadership team
• Translate complex data sets into clear, executive-ready narratives, presenting initial points of view to tee up solutions for strategy validation
• Mentor junior team members and educate the broader marketing org on data literacy and self-serve tools
• Own the end-of-quarter MBO target attainment reporting for the Revenue Marketing team (excluding SDRs)
• Partner closely with Strategy & Analytics (who set the targets), Revenue Marketing Leadership, and the FP&A team to validate performance data and ensure accurate, data-backed alignment on bonus payouts