Growth Marketing Analyst

Description

As the Growth Marketing Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince, and develop actionable strategies that will help us allocate marketing resources to activities that yield the best results. The successful candidate will possess a passion for innovative analysis, processes that scale, and the tenacity to develop findings and recommendations that transcend the numbers.

Primary Duties and Responsibilities

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

Analyzes A/B and MV Tests within growth and marketing functions, communicates results and provides 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.

Basic Qualifications

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 delivery on multiple threads of work in a fast-paced environment

Strong personal work ethic, including personal initiative and ownership2-5 years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to prior consulting experience

Preferred Qualifications

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