

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 16, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Atlanta, GA
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π§ - Skills detailed
#Dataflow #Storytelling #SQL (Structured Query Language) #CRM (Customer Relationship Management) #Big Data #Python #BigQuery #Cloud #Data Science #Automation #GCP (Google Cloud Platform) #Data Quality #"ETL (Extract #Transform #Load)" #Data Management #Computer Science #AI (Artificial Intelligence) #Data Analysis #Data Governance #MDM (Master Data Management) #Scala #Statistics #Data Engineering #Looker
Role description
Job Title: Lead Data Analyst
Location: Atlanta, GA (Hybrid) Only local
Duration: 6+Months
Role Overview:
We are seeking a strategic, hands-on, and technically proficient Lead Data Analyst with strong retail domain knowledge to support our CRM, CDP, personalization, and measurement initiatives. The ideal candidate will have deep expertise in Master Data Management (MDM), Google Cloud Platform (GCP), big data ecosystems, and data foundation architecture, and will be able to contribute from day one with minimal onboarding support.
This role will be pivotal in analyzing and resolving data issues across platforms like Amperity and Acxiom, optimizing marketing performance, and enabling scalable, modular data solutions. Experience in agentic AI implementation to derive actionable insights from data is a strong plus.
Key Responsibilities:
β’ Lead data analytics efforts across CRM, CDP, and personalization programs, supporting segmentation, targeting, lifecycle marketing, and campaign strategies.
β’ Analyze and resolve data quality issues in Amperity, Acxiom, and other platforms, ensuring accurate customer profiles and campaign execution.
β’ Design and implement modular, reusable code and DAGs (Directed Acyclic Graphs) for scalable data workflows and pipelines.
β’ Develop measurement frameworks to assess marketing effectiveness across channels (email, paid media, site personalization, etc.).
β’ Build and maintain dashboards and reporting tools using GCP-native solutions.
β’ Collaborate with data engineering, marketing, and product teams to translate business needs into technical requirements.
β’ Lead technical conversations with directors and above, bringing a strategic perspective and influencing data-driven decisions.
β’ Serve as a Subject Matter Expert (SME) in data analytics, mentoring junior analysts and driving best practices in data governance, storytelling, and campaign measurement.
β’ Apply agentic AI techniques to extract insights and drive automation and intelligence in marketing and personalization workflows.
Required Qualifications:
β’ Bachelorβs or Masterβs degree in Data Science, Statistics, Computer Science, or related field.
β’ 15+ years of experience in data analytics, with at least 3 years in a lead or SME role.
β’ Strong retail industry experience and understanding of customer behavior, merchandising, and omnichannel strategies.
β’ Hands-on experience with MDM, GCP (BigQuery, Cloud Composer, Dataflow, Looker), and big data technologies.
β’ Experience with customer data platforms such as Amperity, Acxiom, or similar.
β’ Proficiency in SQL, Python, and modular code development for analytics workflows.
β’ Deep understanding of CRM data structures, personalization logic, campaign execution, and marketing measurement techniques.
β’ Proven ability to work independently and take ownership of tasks from day one.
β’ Strong communication skills with the ability to present complex data insights to senior stakeholders.
β’ Experience with agentic AI or similar frameworks for data-driven insight generation is a plus.
Job Title: Lead Data Analyst
Location: Atlanta, GA (Hybrid) Only local
Duration: 6+Months
Role Overview:
We are seeking a strategic, hands-on, and technically proficient Lead Data Analyst with strong retail domain knowledge to support our CRM, CDP, personalization, and measurement initiatives. The ideal candidate will have deep expertise in Master Data Management (MDM), Google Cloud Platform (GCP), big data ecosystems, and data foundation architecture, and will be able to contribute from day one with minimal onboarding support.
This role will be pivotal in analyzing and resolving data issues across platforms like Amperity and Acxiom, optimizing marketing performance, and enabling scalable, modular data solutions. Experience in agentic AI implementation to derive actionable insights from data is a strong plus.
Key Responsibilities:
β’ Lead data analytics efforts across CRM, CDP, and personalization programs, supporting segmentation, targeting, lifecycle marketing, and campaign strategies.
β’ Analyze and resolve data quality issues in Amperity, Acxiom, and other platforms, ensuring accurate customer profiles and campaign execution.
β’ Design and implement modular, reusable code and DAGs (Directed Acyclic Graphs) for scalable data workflows and pipelines.
β’ Develop measurement frameworks to assess marketing effectiveness across channels (email, paid media, site personalization, etc.).
β’ Build and maintain dashboards and reporting tools using GCP-native solutions.
β’ Collaborate with data engineering, marketing, and product teams to translate business needs into technical requirements.
β’ Lead technical conversations with directors and above, bringing a strategic perspective and influencing data-driven decisions.
β’ Serve as a Subject Matter Expert (SME) in data analytics, mentoring junior analysts and driving best practices in data governance, storytelling, and campaign measurement.
β’ Apply agentic AI techniques to extract insights and drive automation and intelligence in marketing and personalization workflows.
Required Qualifications:
β’ Bachelorβs or Masterβs degree in Data Science, Statistics, Computer Science, or related field.
β’ 15+ years of experience in data analytics, with at least 3 years in a lead or SME role.
β’ Strong retail industry experience and understanding of customer behavior, merchandising, and omnichannel strategies.
β’ Hands-on experience with MDM, GCP (BigQuery, Cloud Composer, Dataflow, Looker), and big data technologies.
β’ Experience with customer data platforms such as Amperity, Acxiom, or similar.
β’ Proficiency in SQL, Python, and modular code development for analytics workflows.
β’ Deep understanding of CRM data structures, personalization logic, campaign execution, and marketing measurement techniques.
β’ Proven ability to work independently and take ownership of tasks from day one.
β’ Strong communication skills with the ability to present complex data insights to senior stakeholders.
β’ Experience with agentic AI or similar frameworks for data-driven insight generation is a plus.