Senior Data Analyst

Role Description

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

You'll own the product analytics function; from defining KPIs and experimentation frameworks to building trusted reporting and scalable datasets. Your work will help leadership understand what is happening in the business, why it is happening, and what we should do next.

San Francisco preferred, though we're open to remote for the right person.

What you will do

• 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.
• Research cybersecurity and AI markets to identify trends that inform product strategy.
• Leverage LLMs to improve internal workflows and enrich Sagetap's product database.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Compensation: $120,000 - $140,000 base salary, depending on experience.
• Early-stage equity.
• Competitive salary + 401(k).
• Comprehensive healthcare benefits.
• Real ownership in building a category-defining product.
• Opportunity to work closely with a high-performing, mission-driven team.