THE IDEAL CANDIDATE:

As a Performance Marketing Data Analyst, you’ll play a critical role in measuring, analyzing, and optimizing our marketing campaigns. You’ll work closely with our performance marketing, data, and product teams to deliver data-driven insights and strategic recommendations. Your expertise in analyzing large datasets, interpreting trends, and translating them into actionable insights will help us make smarter, faster, and more effective marketing decisions.

Responsibilities:

• Analyze marketing data across channels (e.g., paid search, social, display, email, affiliate) to evaluate performance, identify trends, and optimize spending and ROI.
• Work closely with the performance marketing team to provide data-driven insights and optimize campaigns to achieve KPIs (e.g., ROAS, CAC, LTV).
• Contribute to marketing mix modeling efforts to understand the incremental impact of each marketing channel on conversions and customer acquisition.
• Develop data-driven forecasts, budgets, and projections for marketing campaigns; continuously update based on real-time data and performance.
• Conduct deep-dive analysis on customer behavior, attribution, and path-to-purchase to identify opportunities for increased conversion and customer retention.
• Build and maintain performance dashboards to provide real-time insights for marketing teams and leadership.
• Design and analyze A/B tests to optimize ad creatives, targeting, and bidding strategies across platforms.
• Partner with product, finance, and data science teams to ensure alignment and leverage insights across the organization.

Requirements:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar). Master’s degree is a plus.
• 5+ years in a data analytics role, ideally with a focus on performance or digital marketing within an e-commerce or technology company.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BI).
• Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus.
• Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity.
• Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectively to both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects and prioritize in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience in e-commerce or consumer brands with a strong emphasis on customer acquisition and digital marketing.
• Familiarity with marketing attribution models and experience in customer segmentation techniques.
• An understanding of marketing mix modeling (MMM) and media planning concepts.