Responsibilities

• Strategically own client projects from beginning to end, serving as the expert analyst on the team.
• Develop quantitative analysis, dashboards, and ad hoc reporting to demonstrate the performance of key business initiatives and define areas for optimization.
• Synthesize complex analytics into compelling top-level findings for presentations to senior marketing executives.
• Utilize modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.) using Python/R.
• Work collaboratively with data engineers and solution architects to source new data, resolve system issues impeding data extraction, and design structures that best support analytical efforts.
• Partner with internal and client-marketing teams to define and execute A/B and multivariate tests to optimize the customer experience and maximize customer value.
• Share expertise with other team members and lead new analytical initiatives, fostering a collaborative and innovative environment.

Requirements

• Proven ability to design analytical approaches to understand key business behaviors that drive acquisition, retention, and engagement
• Strong proficiency in SQL, including on-the-job experience collaborating with architects on table design to support reporting and ad hoc requests
• Expertise in Tableau, with on-the-job experience creating dynamic Tableau dashboards and data visualizations
• Proficiency in Python, with on-the-job experience designing statistical models
• Excellent storytelling abilities, capable of translating complex analytical findings into actionable recommendations
• Curious and adaptable, with a strong desire to understand underlying data and manage multiple projects simultaneously
• Collaborative team player who thrives in a team-oriented environment
• Strong business operations, project management, and problem-solving skills
• Proficiency in SQL for manipulating and summarizing large datasets from multiple sources
• Hands-on experience creating dynamic dashboards using Tableau
• High degree of technical competency in data analysis and visualization
• Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Data Science)
• 3+ years of experience in marketing analytics
• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or Engineering
• 5-7+ years of hands-on experience in marketing analytics