Marketing Analytics Lead

About the Company

Zeely AI is an all-in-one AI-powered marketing platform that helps small businesses and marketing teams grow and achieve their business goals. The platform enables users to create high-quality ad creatives, UGC videos, viral content, banners, and more, as well as launch effective paid and organic campaigns on Facebook and Instagram.

Responsibilities

• Build and scale a marketing analytics system to enable data-driven decision-making
• Develop frameworks to evaluate performance of marketing channels, campaigns, and investments
• Analyze key performance metrics including funnels, unit economics, LTV, CAC, and ROAS
• Build and improve attribution models to understand marketing impact
• Create analytical frameworks, dashboards, and reporting systems for Marketing, Growth, Product, and Leadership teams
• Identify growth opportunities through deep analysis of user behavior and marketing data
• Partner with Marketing, Product, Data, and Engineering teams to improve processes
• Build and promote a data-driven culture within marketing and growth teams

Requirements

• Experience as a Marketing Analytics Lead, Growth Analytics Lead, or Product Analytics Lead
• Proven experience building analytics systems for performance-driven or growth-focused teams
• Strong background in performance marketing, growth analytics, or marketing analytics
• Experience working in 2+ companies with mature marketing functions or scaling products
• Deep understanding of unit economics, CAC, LTV, ROAS, marketing funnels, and attribution models
• Experience working with large datasets and building analytical models
• Ability to transform complex data into clear insights and actionable recommendations
• Strong communication skills and cross-functional collaboration experience
• Upper-Intermediate+ English

Preferred Qualifications

• Experience in SaaS, mobile, or AI-powered products
• Experience with product analytics and growth experimentation
• Experience building analytics solutions for scaling paid acquisition channels
• Familiarity with BI tools and modern data stacks
• Experience building analytics processes and systems from scratch