Apply on Employer Site

Mirage · 1 month ago

Marketing Data Analyst

New York, NY

Full-time

Onsite

Mid, Senior Level

$110K/yr - $160K/yr

4+ years exp

Mirage is the leading AI short-form video company, building innovative products that enhance video creation and editing. The Marketing Data Analyst will analyze multi-channel data to improve acquisition performance and retention, collaborating with various teams to optimize the customer journey and support strategic decision-making.

Artificial Intelligence (AI)Generative AISoftware

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

Qualification

Marketing analyticsSQLData visualizationCross-functional collaborationCloud data warehousesMobile measurement partnersData storytellingAnalytical skillsStructured thinkingPythonPredictive modelingSegmentationExperimentation frameworksMedia mix modelingProblem-solving skills

Required

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