Mirage is seeking to improve acquisition performance, strengthen retention, and drive strategic decision-making by analyzing multi-channel data and translating insights into actionable recommendations.
Requirements
- 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.
- Bonus: Experience with Python, predictive modeling, segmentation, experimentation frameworks, or media mix modeling.
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.
- 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.
Other
- 4+ years of experience in marketing analytics, growth analytics, or business intelligence within B2C, B2B, e-commerce, or SaaS environments.
- Exceptional analytical, structured thinking, and problem-solving skills, with the ability to operate independently in fast-paced environments.
- Comprehensive medical, dental, and vision plans
- 401K with employer match
- Generous PTO policy
