Quince

Compensation

Full Description

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, • (Desirable) Experience in e-commerce or consumer brands with a strong emphasis on customer acquisition and digital marketing, • (Desirable) Familiarity with marketing attribution models and experience in customer segmentation techniques, • (Desirable) An understanding of marketing mix modeling (MMM) and media planning concepts What the job involves • We are seeking a Senior Data Analyst to join our growing team! 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, • 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