August 9
• Own the topic of retention loyalty program analytics through segmented gamified strategy, creating a personalized user experience, and optimizing reinvestment spend • Perform A/B testing to understand the effects of different loyalty aspects on user behavior and retention • Create, understand, and identify opportunities within the loyalty program • Develop data collection, data analysis and business intelligence reporting systems to measure and inform business strategy for a new loyalty program and general retention strategy • Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently • Collaborate with decision-makers on the Retention Marketing team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results
• 2+ years of Data Analytics experience in an ecommerce, direct-to-consumer or retail environment (retention marketing domain experience preferred) • Advanced knowledge of SQL, including comfort with analytic functions, window functions, and common table expressions • 2+ years’ experience using data visualization tools (Tableau preferred) & scripting languages (Python) • Advanced ability to draw insights from analysis, supported by data, and clearly communicate them to stakeholders, including senior management • Intellectual curiosity, and solid understanding in data sources and ecosystems, with the ability to see from the brand’s business lens • Strong communication skills, both written and oral
• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Long-term incentives and bi-annual bonus • Uncapped PTO to encourage a healthy work/life balance (2-week MINIMUM required!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development
Apply NowDecember 7, 2023
51 - 200
Analyze data and improve client interactions for complex litigation firm.