Staff Data Analyst, Marketing
GlossGeniusNew York, NY$190k – $220kPosted 10 April 2026
Tech Stack
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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