Responsibilities

• Develop and execute A/B testing strategies to optimize customers’ shopping journeys and drive incremental revenue for the business
• Segment the customer base and support targeted marketing strategies based on behavioral, preferential, and demographic data. Tailor segmentation analysis to support marketing team’s personalization and performance goals
• Design & create visually compelling reports and dashboards to communicate data insights effectively to stakeholders
• Define, track, and report on key performance metrics to measure the effectiveness of marketing initiatives, providing regular reports and clear, actionable recommendations to the marketing team
• Support development of customer-level predictive models that drive meaningful business outcomes
• Support develop forecasting models to predict marketing outcomes and assist in long-term planning & budgeting
• Conduct self-directed exploratory analysis of customer & marketing data to identify trends, opportunities, and areas for improvement
• Cross-functional collaboration with the Marketing, Pro, Ecommerce, Operations, Merchandising, and IT teams to align marketing strategies with business objectives
• Drive improvement & enhancement of existing customer analytics, with a focus on empirical and incremental results
• Be compliant with all appropriate Privacy Preferences and Security protocols.

Requirements

• Bachelor's degree in data science, marketing, business, or a related quantitative field.
• 3-5 years of experience in marketing or customer analytics or a related field, or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company
• Demonstrated expertise in SQL
• Proficiency with at least 1 statistical analysis language (e.g., R, Python), and data visualization software (e.g., Power BI, Tableau)
• Experience with AI-assisted analysis tools (e.g., Claude, Codex) to accelerate data exploration, modeling, and reporting
• Excellent communication skills: able to convey complex data insights to non-technical stakeholders
• Expertise in A/B testing methodology & design
• Familiarity with CRM software (e.g., Salesforce) and automation tools (e.g., CDPs) is a plus
• Understanding of lifecycle marketing channels & tactics (e.g., acquisition, retention/churn, lifetime value optimization, personalization)
• Must be highly analytical and able to provide a data-driven rationale for new projects

Benefits

• Bonus opportunities & career advancement opportunities at every level
• Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program
• Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)
• Work-life balance, including:
• Paid vacation and sick time for eligible associates
• Paid holidays plus a personal holiday
• Paid Volunteer Time Off that starts on Day 1