Senior Data Analyst

Sagetap

. Serve as the strategic analytics partner to Product, Growth, Engineering, Design, and Leadership .

Posted 9/23/2026full-timeUnited StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Analytics and Data Science, with a strong focus on defining KPIs, conducting A/B testing, and generating actionable insights from data. Proficient in SQL, Python, and DBT, with a strategic mindset to influence business outcomes through data-driven recommendations.

Highest-signal resume keywords

Expert SQLPython for Data EngineeringDBT ExperienceA/B Testing StrategyKPI Definition and Measurement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsData AnalyticsGrowth AnalyticsData ScienceKPI DefinitionExperimentation FrameworksData Modeling Best PracticesDatabase ManagementData VisualizationStatistical Analysis

Soft Skills

Strong Business JudgmentExcellent CommunicationCuriosityProactive AttitudeStrategic Thinking

Tools & Technologies

DBTMixpanelOmniGitModern Data WarehousesSagetap PlatformLLMs

Industry Keywords

B2B SaaSMarketplacesProduct-Led GrowthCybersecurityAI Markets

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

Serve as the strategic analytics partner to Product, Growth, Engineering, Design, and Leadership
Support growth by generating insights and reports from Sagetap proprietary data
Define KPIs, evaluate feature performance, identify root causes behind metric movement, and present 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
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 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 the product database
Collaborate with Product, Growth, Engineering, Design, GTM, and Leadership teams
Help enterprise technology executives discover and evaluate software through Sagetap's AI-driven platform

Requirements

What you’ll need

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
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 thinking connecting data to business outcomes
Ownership mentality and ability to independently drive high-impact initiatives
Excellent communication and storytelling skills
Curiosity, experimentation mindset, and bias toward action
USA work authorization
Must live and intend to work in the San Francisco or NYC area, within 100 miles of SF or NYC; the company is not currently registered to employ in NJ or CT

Benefits

Comp & perks

Early-stage equity
401(k)
Competitive salary
Comprehensive healthcare benefits
Real ownership in building a category-defining product
Opportunity to work closely with a high-performing, mission-driven team
Remote-first work with regular in-person collaboration