Senior Data Analyst

The role

You will serve as a strategic analytics partner to Product, Growth, Engineering, Design, and Leadership. You will own the product analytics function, including defining KPIs, leading experimentation strategy, and building scalable datasets.

What you will do

• Serve as the strategic analytics partner to Product, Growth, Engineering, and Design
• Support growth by generating insights and reports from Sagetap proprietary data
• Own the measurement framework for product initiatives by defining KPIs and evaluating feature performance
• Lead experimentation strategy by designing, evaluating, and scaling A/B tests and product experiments
• Build executive-ready dashboards, analyses, and self-service reporting
• Create and maintain scalable analytics datasets using DBT and modern data modeling best practices
• Manage Database Categorization of technology categories and vendors
• Partner with executive leadership to answer strategic business questions
• Research cybersecurity and AI markets to identify trends
• Leverage LLMs to improve internal workflows and enrich the product database

Required qualifications

• 5+ years of experience in Product Analytics, Data Analytics, Growth Analytics, or Data Science
• Expert SQL
• 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

Nice to have

• preferably in B2B SaaS, marketplaces, or product-led growth companies

Benefits

• Early-stage equity
• Competitive salary
• 401(k)
• Comprehensive healthcare benefits

About the company

Sagetap is a rapidly growing startup that uses an AI-driven platform to connect tech buyers with technology vendors. The company is backed by investors like NFX Ventures, Uncorrelated Ventures, and Emergent Ventures.