Senior Marketing Data Analyst

About the Opportunity

The organization has built the engine (Snowflake, Sigma, Marketing Automation Platforms), and now it needs a strategic analyst to drive performance. This role is for a Lead Marketing Data Analyst who is part detective, part data architect, and part business consultant.

Key Responsibilities

• 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.
  As the "Check Engine Light" for the GTM engine, monitor 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 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 the "Ask Anything" capability, ensuring the AI understands complex B2B business logic (Buying Stages, 6QA, Deal DNA).
  Apply 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.
  Ownt 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.

Required Qualifications

• 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. The individual will not just supply data but 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 AI agents.
• AI Curiosity: Experience or strong interest in configuring AI-driven analytics tools, LLMs for data analysis, or semantic data modeling.
• The "Detective" Mindset: An individual who is uncomfortable when the numbers don't make sense and will not stop digging until the root cause is found.

Preferred Qualifications

• MS degree in Computer Science, Data Science or related field
• Experience or strong interest in algorithms and optimization
• Experience working in B2B marketing analytics (especially in cybersecurity)

Additional Information

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range: $122,400—$176,000 USD

The hiring organization is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.