Senior Data Analyst

Sagetap is a rapidly growing startup that helps enterprise technology executives discover and evaluate software through an AI-driven platform. The Senior Data Analyst will serve as a strategic analytics partner across Product, Growth, Engineering, Design, and Leadership, owning product analytics, measurement frameworks, experimentation, reporting, and scalable data models to guide product strategy and marketplace growth.

Responsibilities:

• Serve as the strategic analytics partner to Product, Growth, Engineering, and Design, helping prioritize roadmap investments through quantitative analysis and marketplace insights
• Support growth by generating insights and reports from Sagetap proprietary data
• Own the measurement framework for product initiatives by defining KPIs, evaluating feature performance, identifying root causes behind metric movement, and presenting recommendations to leadership
• Lead experimentation strategy by designing, evaluating, and scaling A/B tests and product experiments
• Build executive-ready dashboards, analyses, and self-service reporting that improve decision making across Product, GTM, and Leadership
• Create and maintain scalable analytics datasets using DBT and modern data modeling best practices
• Manage Database Categorization of our technology categories and vendors
• Partner with executive leadership to answer strategic business questions and influence company priorities through data
• Support growth by generating insights and reports from Sagetap proprietary data
• Research cybersecurity and AI markets to identify trends that inform product strategy
• Leverage LLMs to improve internal workflows and enrich Sagetap's product database

Requirements:

• • 5+ years of experience in Product Analytics, Data Analytics, Growth Analytics, or Data Science, preferably in B2B SaaS, marketplaces, or product-led growth companies
• • Expert SQL, and experience using Python in a data engineering and analytics capacity
• • Hands-on experience with DBT, Mixpanel and 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 analyses into clear executive recommendations
• • Experience influencing cross-functional teams and partnering with senior stakeholders
• • Highly organized, proactive, and comfortable thriving in ambiguity
• • Strategic thinker who connects data to business outcomes
• • Ownership mentality with the ability to independently drive high-impact initiatives
• • Excellent communication and storytelling skills
• • Curiosity, experimentation mindset, and bias toward action
• San Francisco preferred, though we're open to remote for an amazing