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Lead Data Analyst

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: United IT Solutions
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Security, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 (Big Query, 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.
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