Senior Data Analyst, Marketing
GlossGeniusNew York, NY$160k – $185kPosted 26 March 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 Senior Marketing Analyst, you will be responsible for raising the bar on the quality of our analysis and decision making within the Go-to-Market team. You will partner closely with our VP of Growth Marketing to own and uplevel our marketing attribution systems, deep dive into customer acquisition funnels, and improve the overall efficiency of our growth machine.
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
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 and analyze marketing metrics and KPIs, such as CAC, LTV and payback period
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 analysis and focus on the high-impact work
Serve as a thought partner to the go-to-market leadership in deciding how to strategically grow our customer base
What We’re Looking For
5+ years of experience in a highly analytical role, 2+ years in a marketing analytics or science role, ideally at a SaaS company
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, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year
The starting base salary for this role in New York, California, and Washington is between $160,000-$185,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where a ... (truncated, view full listing at source)
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