Data Analyst, Mirage

• 4+ years of experience in marketing analytics or growth analytics within B2C, B2B, e-commerce, or SaaS environments
• Advanced SQL proficiency with hands on experience analyzing marketing and user level data sets
• 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 and growth metrics across the customer lifecycle, including acquisition, activation, engagement, retention, and LTV, with the ability to connect marketing performance to broader business outcomes
• Proven ability to craft clear, compelling data stories and present insights to non-technical audiences and senior stakeholders
• Demonstrated success partnering cross functionally with Marketing, Product, Data Engineering, and Finance teams
• Exceptional analytical, structured thinking, and problem-solving skills, with the ability to operate independently in fast-paced environments

Desirable

• We’re looking for a strategic and highly analytical Marketing Data Analyst to help drive smarter acquisition, stronger retention, and more effective marketing investment decisions
• In this role, you will partner with Marketing, Finance, and Leadership teams to transform complex, multi-channel data into clear insights and actionable recommendations
• You'll play a key role in shaping how we measure performance, evaluate growth opportunities, and optimize the full customer journey
• Operating at the intersection of data and strategy, you’ll turn insights into clear direction that shapes priorities, investments, and outcomes
• Analyze acquisition, lifecycle, and broader marketing performance to identify trends, diagnose funnel gaps, and uncover opportunities to improve CAC, ROAS, LTV, retention, and engagement
• Translate complex datasets into clear dashboards, reports, and executive-ready narratives 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
• Strengthen marketing attribution and incrementality measurement, including SKAN and probabilistic modeling approaches
• Design and evaluate A/B and multi-variate tests, ensuring rigorous measurement and actionable insight generation
• Collaborate cross-functionally with Finance, Marketing, and Data teams to enhance data reliability, improve measurement frameworks, and evolve out analytics capabilities
• Serve as a trusted analytical advisor to marketing leadership, providing context, clarity, and strategic recommendations