Senior Marketing Analytics Manager - BI & Data Architecture

Role Description

Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights?

We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational "Gold Layers" and semantic models that enable self-serve reporting and agentic AI workflows.

This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you’re energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we’d love to hear from you.

This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. Relocation assistance will not be provided for this position.

Qualifications

• Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields.
• 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience.
• Expert in SQL, Python, DBT and visualization platforms (Tableau preferred).
• Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets.
• Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows.
• Strong analytical and critical thinking skills with experience in data analysis.
• Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows.
• Experience supporting Sales, Product or Marketing teams.

Requirements

• Experience building interactive applications using Streamlit or Claude workflows.
• Experience building web applications.
• Experience working in web analytics.
• Sales and marketing experience including familiarity with MarTech tools.
• Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem.
• Data Science, machine learning or predictive analytics experience.
• Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.

Benefits

• Annual base salary range: $119,000 — $180,000 USD.
• Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles).
• Flexible, employee-led remote model.
• Professional development stipend.
• Comprehensive health and parental leave plans.