Responsibilities

• Provide analysis to support email, mobile push messaging, SMS, the Loyalty Club, and other retention channels
• Write queries and scripts to serve personalized content in emails and mobile push messages
• Define, implement, and automate weekly and monthly reports of key performance metrics, action items and alerts, and A/B test results
• Provide actionable email and push strategy recommendations based on key performance metrics, A/B test results, and various data sources
• Perform customer segmentation and customer lifetime value analysis to support retention strategy
• Establish and build relationships with stakeholders including marketing, engineering, merchandising, creative, copy etc.
• Help drive REVOLVE’s customer activation and retention strategy by using data to optimize lifecycle, batch, and transactional email campaigns
• Help develop programs to maximize customer retention, with a focus on repeat purchase, win-back, cross-sell, and upsell efforts
• Create data-driven, dynamic campaigns, audience segmentation strategies and testing plan to maximize ROI targets
• Prepare, test and schedule daily email sends

Requirements

• A BA/BS Degree is required
• To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in data analytics, technology, math, or science.
• Strong SQL background, ability to dive into the dataset and arrive at a conclusion
• Proven business acumen and results oriented.
• Ability to demonstrate logical thinking and problem solving skills
• Strong attention to detail
• Strong communication, collaboration, and presentation skills
• Comfortable working in a very collaborative, creative, and fast paced environment
• Comfortable sharing concepts and taking feedback
• Self-motivated and takes initiative

Preferred

• 1+ years of analytical experience is a plus but not required
• MS/MSc/MEng in a quantitative field is a plus but not required
• Experience with SQL, Tableau, Google Analytics, Python preferred
• Basic programming skills in any language (java, vba, python, c++…) are a plus
• Experience with E-commerce marketing is a plus
• SQL and Database experience or training is a plus

Benefits

• Some of the sweetest perks we offer aren’t in a typical benefit package like hefty discount on items we carry – as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties.