Lead Data Analyst

Lead Data Analyst

Location: Atlanta, GA (Hybrid) Only local

Key Responsibilities:

• Lead data analytics efforts across CRM, CDP, and personalization programs, supporting segmentation, targeting, lifecycle marketing, and campaign strategies.
• Analyze and resolve data quality issues in Amperity, Acxiom, and other platforms, ensuring accurate customer profiles and campaign execution.
• Design and implement modular, reusable code and DAGs (Directed Acyclic Graphs) for scalable data workflows and pipelines.
• Develop measurement frameworks to assess marketing effectiveness across channels (email, paid media, site personalization, etc.).
• Build and maintain dashboards and reporting tools using GCP-native solutions.
• Collaborate with data engineering, marketing, and product teams to translate business needs into technical requirements.
• Lead technical conversations with directors and above, bringing a strategic perspective and influencing data-driven decisions.
• Serve as a Subject Matter Expert (SME) in data analytics, mentoring junior analysts and driving best practices in data governance, storytelling, and campaign measurement.
• Apply agentic AI techniques to extract insights and drive automation and intelligence in marketing and personalization workflows.

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 15+ years of experience in data analytics, with at least 3 years in a lead or SME role.
• Strong retail industry experience and understanding of customer behavior, merchandising, and omnichannel strategies.
• Hands-on experience with MDM, GCP (BigQuery, Cloud Composer, Dataflow, Looker), and big data technologies.
• Experience with customer data platforms such as Amperity, Acxiom, or similar.
• Proficiency in SQL, Python, and modular code development for analytics workflows.
• Deep understanding of CRM data structures, personalization logic, campaign execution, and marketing measurement techniques.
• Proven ability to work independently and take ownership of tasks from day one.
• Strong communication skills with the ability to present complex data insights to senior stakeholders.
• Experience with agentic AI or similar frameworks for data-driven insight generation is a plus.