Marketing Data Analyst
Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for professional teams, while making video creation accessible to anyone.
We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.
More about us
Product(Captions by Mirage)
Research(Seeing Voices, technical-white-paper)
Updates(Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (press)
Our Investors
We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the role:
We’re seeking a highly analytical Marketing Data Analyst to partner with Marketing, Finance, and Leadership teams to improve acquisition performance, strengthen retention, and drive strategic decision-making. In this role, you will analyze multi-channel data, translate insights into actionable recommendations, and support key leadership cadences with clear, compelling data stories. You’ll collaborate cross-functionally with Marketing, Finance, Operations, and Data teams to enhance measurement capabilities and optimize the end-to-end customer journey.
Key Responsibilities:
Analyze acquisition, lifecycle, and broader marketing performance to identify trends, diagnose funnel gaps, and uncover opportunities to improve CAC, ROAS, LTV, retention, and engagement.
Build dashboards, reports, and visualizations that clearly communicate insights to senior leaders for monthly business reviews, QBRs, and strategic planning sessions.
Conduct deep-dive analyses into customer behavior, cohorts, segmentation, and retention patterns to inform marketing strategy and user journey improvements.
Partner with performance marketing to evaluate multi-channel campaign impact and support optimization across paid, owned, and earned channels. Enhance marketing attribution via SKAN and probabilistic modeling
Support experimentation through A/B and multivariate test design, measurement, and insight generation.
Lead cross-functional collaboration with Finance, Marketing, and Data teams to ensure data stability, improve marketing measurement, and evolve analytics capabilities.
Serve as an analytical advisor to marketing leadership, providing context, clarity, and actionable insights.
Requirements:
4+ years of experience in marketing analytics, growth analytics, or business intelligence within B2C, B2B, e-commerce, or SaaS environments.
Advanced proficiency in SQL with hands-on experience working with marketing and user-level data.
Experience with modern cloud data warehouses (e.g., BigQuery), including querying, data modeling, and building or maintaining tables to support analytics and scalable reporting.
Strong understanding of core marketing performance metrics, including CAC, CLV, ROAS, funnel performance, attribution, retention, and incrementality.
Experience with mobile measurement partners (e.g., AppsFlyer) and familiarity with mobile attribution.
Proven ability to craft clear, compelling data stories and present insights to non-technical audiences and senior stakeholders.
Track record of effective cross-functional collaboration with teams such as Marketing, Product, Data Engineering, and Finance.
Exceptional analytical, structured thinking, and problem-solving skills, with the ability to operate independently in fast-paced environments.
Bonus: Experience with Python, predictive modeling, segmentation, experimentation frameworks, or media mix modeling.
Benefits:
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Grubhub subscription
Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
Multiple team offsites per year with team events every month
Generous PTO policy
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.