Responsibilities

• Own performance measurement of CRM campaigns across email, SMS, push, and other channels , including engagement, conversion, and revenue attribution
• Analyze customer behavior and lifecycle trends to identify opportunities to improve retention, frequency, and lifetime value
• Translate complex datasets into clear insights and actionable recommendations for marketing and business stakeholders
• Proactively identify trends, anomalies, and opportunities to optimize CRM performance
• Support ad hoc analysis requests and present findings to cross-functional partners
• Design, build, and maintain scalable customer segmentation frameworks to support CRM and broader business initiatives
• Develop and manage audience lists using SQL and/or Python for campaign targeting and personalization
• Partner with CRM and Data Science teams to operationalize segmentation strategies, including propensity, churn, and LTV-based targeting
• Ensure segmentation logic is accurate , documented, and consistently applied across campaigns
• Continually refine segmentation strategies based on performance insights and evolving business needs

Requirements

• Bachelor's degree in STEM, Business, or related field.
• 2–5 years of experience in analytics, CRM, or a similar hybrid business/technical role
• Strong proficiency in SQL and/or Python ; experience working with large datasets in cloud environments (Databricks or similar)
• Hands-on experience with building da sh boards in Power BI or a comparable BI/visualization platform (Tableau, Looker, etc.).
• Solid working knowledge of Braze or a comparable enterprise CRM/marketing automation platform.
• Demonstrated experience designing and analyzing A/B and multivariate tests with statistical rigor.
• Strong grasp of CRM and lifecycle marketing fundamentals : segmentation, engagement metrics, retention strategy, and channel behavior.
• Familiarity with GA4 for cross-channel performance measurement.
• Excellent communication skills; ability to translate analytical findings into clear narratives for both technical and non-technical audiences.
• Highly detail-oriented with a track record of delivering accurate , high-quality work in a fast-paced environment.

Preferred

• Braze Certified Practitioner or equivalent platform certification.
• Background in customer segmentation, lifecycle marketing, or loyalty analytics
• Experience supporting cross-functional stakeholders in a retail or CPG environment.
• Familiarity with Liquid templating or other dynamic content logic within CRM platforms.