Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst focused on Enterprise Architecture, with a contract length of "unknown" and a pay rate of "$XX/hour." Requires 3+ years in data analysis, expertise in data integration, and strong communication skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
πŸ“„ - Contract type
Unknown
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Atlanta Metropolitan Area
-
🧠 - Skills detailed
#Automation #Data Quality #Data Governance #AI (Artificial Intelligence) #Business Analysis #Visualization #Data Analysis #"ETL (Extract #Transform #Load)"
Role description
Data Analyst – Enterprise Architecture The Enterprise Architecture (EA) team is working to simplify and improve a portfolio of 6,000+ applications. We’re seeking a Data Analyst to ensure the quality, traceability, and usability of the data that drives key EA decisions. Key Responsibilities: β€’ Consolidate, clean, and structure data from multiple sources. β€’ Map application, process, and infrastructure dependencies. β€’ Integrate data across systems into unified, accurate views. β€’ Manage data quality, lineage, and completeness. β€’ Create dashboards and insights to support portfolio rationalization. β€’ Partner with Business Analysts and Architects to align data models with business processes. Must Have: β€’ 3+ years in data analysis or enterprise data roles. β€’ Experience in ingesting and transforming data from diverse sources. β€’ Knowledge of data warehousing, mapping, and lineage tracking. β€’ Ability to integrate data across applications, infrastructure, and business systems. β€’ Strong collaboration and communication skills. Nice to Have: β€’ Experience with data governance or catalog practices. β€’ Exposure to portfolio rationalization or M&A integration projects. β€’ Familiarity with EA frameworks (CSDM, TOGAF, capability models). β€’ Comfort with automation or AI-assisted analysis. Soft Skills: β€’ Detail-oriented yet able to see enterprise-wide patterns. β€’ Strong communicator with visualization skills. β€’ Curious, adaptable, and outcome-focused.