Growth Marketing Analyst

March 26

Quince

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High Quality Products. Radically Lower Prices.

ecommerce • apparel • accessories • homegoods • luxury

11 - 50

Description

• Perform comprehensive analysis of traffic, the conversion funnel, and ROI to make recommendations and implement strategies for improvement • Systematically analyze results across marketing platforms, programs, campaigns and segments and make actionable recommendations for improvement with an intent of developing automation solution • Serve as business owner of marketing data, and coordinate data preparation in support of analytics, and assist with the delivery of comprehensive analytics projects on optimization • Analyze A/B and MV Tests within growth and marketing functions, communicate results and provide recommendations • Provide quantitative feedback to content and creative team to optimize creative assets and marketing content • Ad hoc issue investigation and quantification of business impact • Stay up-to-date on the latest marketing trends and technologies to identify new opportunities for growth.

Requirements

• An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) • Experience in advanced analytic and statistical techniques related multivariate and A/B testing, digital revenue attribution, customer segmentation, and marketing effectiveness • Ability to conceptualize business problems and solving them through data analysis • Excellent written and oral communication skills, including an ability to communicate across business areas • Ability to prioritize and deliver on multiple threads of work in a fast-paced environment • Strong personal work ethic, including personal initiative and ownership • 2-5 years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to prior consulting experience • Data sleuth (e.g., data source identification, feasibility of joins, determines data reasonableness based on business insight) • Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc • Hands-on experience with Python, R, or equivalent tools

Benefits

• Opportunity to work with a world-class team from various renowned companies • Chance to be part of a mission-driven organization • Competitive salary and benefits package • Opportunity for growth and career development