Note: The job is a remote job and is open to candidates in USA. Abnormal AI is looking for a Senior Marketing Data Analyst to drive strategic analysis and uncover the reasons behind performance anomalies. In this role, you will partner with various teams to optimize performance, maintain data integrity, and lead the transition to AI-driven insights while mentoring junior team members.
Responsibilities
- 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
- 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
- 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
- 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
Skills
- 7+ years in Marketing Analytics, BizOps, or Data Science within B2B SaaS
- Proven ability to influence executive decisions through data
- 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)
- Deep understanding of B2B Marketing and Pipeline funnels (MQL to Closed Won)
- Attribution models (Multi Touch is a plus)
- ABM metrics (6Sense/Demandbase)
- Basic experience and knowledge in building ML based models that can feed context to our agents
- Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling
- You are uncomfortable when the numbers don't make sense and won't stop digging until you find the root cause
- MS degree in Computer Science, Data Science or related field
- Experience with algorithms and optimization
- Experience working in B2B marketing analytics (especially in cybersecurity)
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
Company Overview
Abnormal AI is the leading AI-native human behavior security platform. It was founded in 2018, and is headquartered in Las Vegas, Nevada, USA, with a workforce of 1001-5000 employees. Its website is https://abnormal.ai/.Company H1B Sponsorship
Abnormal AI has a track record of offering H1B sponsorships, with 3 in 2026, 4 in 2025. Please note that this does not guarantee sponsorship for this specific role.