Sagetap - Senior Data Analyst
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.
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. • Compensation: $120,000 - $140,000 base salary, depending on experience • Early-stage equity
Benefits
• $120K – $140K • Offers Equity • The total rewards package at Sagetap includes base salary, equity (stock options), and benefits.Our cash compensation and equity ranges are based on market data pulled from Pave.Offers are based on demonstrated experience, expertise, and performance in our interview process, as well as your geographic location and internal pay equity. • Data Analyst • Data Analyst • Company DescriptionSagetap is a rapidly growing startup changing how enterprise technology executives discover and evaluate software. Our AI-driven platform anonymously connects tech buyers with the industry’s most credible technology vendors, helping them cut through the noise and solve their biggest problems. • Early-stage equity • Real ownership in building a category-defining product • Opportunity to work closely with a high-performing, mission-driven team
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