Sr. Data Analyst

Role Overview

As a Senior Data Analyst at Sagetap, you’ll be the strategic analytics partner to Product, Growth, Engineering, Design, and Leadership. You’ll use data to shape product strategy, influence roadmap decisions, and identify high-impact opportunities for marketplace growth.

Responsibilities

• Act as the strategic analytics partner across Product, Growth, Engineering, and Design to prioritize roadmap investments using quantitative analysis and marketplace insights.
• Support growth through insights and reporting using Sagetap proprietary data.
• Own the measurement framework: define KPIs, evaluate feature performance, diagnose root causes of metric movement, and present recommendations.
• Lead experimentation strategy by designing, evaluating, and scaling A/B tests and other product experiments.
• Build executive-ready dashboards, analyses, and self-service reporting to improve decision-making across Product and GTM.
• Create and maintain scalable analytics datasets using DBT and modern data modeling practices.
• Manage database categorization of technology categories and vendors.
• Partner with executive leadership to answer strategic business questions and influence priorities with data.
• Research cybersecurity and AI markets to inform product strategy.
• Leverage LLMs to improve internal workflows and enrich Sagetap’s product database.

Requirements

• 5+ years in Product Analytics, Data Analytics, Growth Analytics, or Data Science (preferably B2B SaaS, marketplaces, or product-led growth).
• Expert SQL and Python proficiency.
• Hands-on experience with DBT, Mixpanel, Omni (or similar BI tools), Git, experimentation frameworks, and modern data warehouses.
• Experience defining KPIs and measurement strategies for product organizations.
• Strong business judgment and ability to translate complex analysis into clear executive recommendations.
• Ability to influence cross-functional teams and partner with senior stakeholders.
• Highly organized, proactive, AI-forward, and comfortable in ambiguity.

Nice to Haves

• Experience mentoring analysts or establishing analytics best practices.

Location / Work Style

• Remote or Hybrid in the San Francisco Bay Area.

Tools Mentioned

• DBT, Mixpanel, Omni, Hex, Hightouch