DATA ANALYST 4

About the role

The role designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. It involves developing software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets. The role collaborates with functional business units to drive business solutions and direction. It also involves managing all aspects of end-to-end data processing utilizing customized report building functions of systems.

Responsibilities

• Design, develop, and maintain data integrations.
• Aid in building scalable data pipelines, APIs, and automation workflows to support enterprise reporting, analytics, and application needs.
• Implement and optimize data storage, ingestion, transformation, and retrieval processes in cloud-based environments.
• Collaborate with cross-functional teams to define and enforce data requirements, governance rules, and best practices.
• Ensure data quality, lineage tracking, and standards compliance across multiple systems and platforms.
• Support enterprise data governance, metadata management, and documentation initiatives.
• Troubleshoot and resolve complex data integration issues and performance bottlenecks.
• Contribute to architecture decisions and technology roadmaps for data and automation platforms.
• Ensure adherence to cybersecurity, compliance, and internal controls.

Requirements

• High School diploma and 13 years of experience -or-
• Associates degree and 11 years of experience -or-
• Bachelors degree and 9 years of experience -or-
• Masters degree and 7 years of experience -or-
• PHD and 4 years of experience

Qualifications

• Familiarity with CMMC requirements and government/compliance frameworks.
• Knowledge of cybersecurity best practices related to data protection and access control.
• Experience with data governance, retention policies, and compliance-driven data management.
• Understanding of DevOps, CI/CD, or infrastructure-as-code methodologies.
• Scripting or development experience (e.g., PowerShell, Python, C#, or similar) related to AI.

Skills

• Data Integration
• Data Modeling
• Data Warehousing
• Data Architecture
• Data Governance
• DevOps
• CI/CD
• Infrastructure-as-code
• Python
• C#
• PowerShell
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
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• DevOps
• CI/CD
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• CI/CD
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• DevOps
• CI/CD
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• DevOps
• CI/CD
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• CI/CD
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• CI/CD
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• CI/CD
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• CI/CD
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• CI/CD
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• DevOps
• CI/CD
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• DevOps
• CI/CD
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• CI/CD
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• CI/CD
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• Infrastructure-as-code
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• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code
• DevOps
• CI/CD
• Infrastructure-as-code