Senior Data Analyst

Data Analyst

Company Description

Sagetap 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.

Backed by investors like NFX Ventures, Uncorrelated Ventures, and Emergent Ventures, we are on a mission to fundamentally change software discovery for senior technology leaders, fostering meaningful connections in a non-sales setting.

We’re a tight-knit, fast-moving team that values curiosity, transparency, and impact. If you’re energetic, results-oriented, and excited to work in an early-stage environment, come help us shape the future of technology buying at Sagetap!

Job 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.

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.

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.

What we are looking for

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.

What you will have at Sagetap

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

Compensation Range: $120K - $140K