Staff Data Analyst, Marketing

GlossGenius
New York, NY$190k – $220kPosted 10 April 2026

Job Description

About GlossGenius GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one. About the Role As a Staff Marketing Analyst, you will set the analytical vision and raise the ceiling on what's possible across our Go-to-Market team. You will partner closely with our VP of Growth Marketing to own and evolve our marketing measurement strategy, lead a team of marketing analysts, and drive the overall efficiency of our growth machine. Beyond executing high-quality analysis yourself, you will define frameworks, establish best practices, and multiply the impact of the analysts around you. You'll report to the VP of Growth Marketing. You must be commutable to our NYC headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays. What You’ll Do Work directly with various GTM teams (e.g. lifecycle, performance marketing, brand product marketing) to execute high-impact campaigns, experiments and projects Lead, mentor, and grow a team of marketing analysts — setting standards for analytical rigor, documentation, and stakeholder communication Identify opportunities for optimization and revenue growth through analysis of our funnel, customer performance data, and experiments Own, iterate and improve upon our multi-touch attribution model and channel lift-testing Define, govern, and socialize marketing metrics and KPIs (such as CAC, LTV and payback period) ensuring consistent interpretation across teams Partner with Data Platform and peer Analytics teams to implement best-in-class analytical frameworks and testing structure across our data stack Leverage AI tools and automation to scale your team's analysis, actively explore how AI can expand what's analytically possible and focus on the most high impact initiatives Serve as a senior thought partner to go-to-market leadership in deciding how to strategically grow our customer base, and represent the Marketing Analytics function in company-wide data strategy discussions What We’re Looking For 7+ years of experience in a highly analytical role, 3+ years in a marketing analytics or science role, ideally at a SaaS company 1+ years of experience directly managing or leading a team of analysts, including mentorship, project prioritization, and performance development Demonstrated use of AI tools (e.g., Claude, ChatGPT, Cursor) to accelerate analysis, build automations, or improve workflow efficiency Strong perspective on the marketing experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices) Strong working knowledge of stats (regression, conversation rate modeling, A/B testing, media mix modeling, etc.) Proficiency in SQL and Python Experience with Hex, Looker, Tableau, or other data visualization tools is preferred Familiarity with CRM and Martech tools like Iterable, Hubspot, Eppo and similar is a plus Benefits Perks Flexible PTO Competitive health dental insurance options, with premiums partially or fully covered by GG Fertility and adoption benefits via Carrot Generous, fully-paid parental leave policy 401k benefit - employees are eligible to contribute starting day 1 of employment Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses Pre-tax commuter benefits Dependent Care FSA Home office support Team Bonding opportunities - as a distributed team, bein ... (truncated, view full listing at source)
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