Cloud Data Analyst/ Azure Data Engineer

24 hours ago


Northfield, United States Collabera LLC Full time

Responsibilities:


Cloud Migration and Optimization:



  • Lead the migration of existing BI and analytics workloads (WebFocus, Alteryx, Tableau) to Power BI and Azure.
  • Optimize cloud infrastructure for performance, scalability, and cost-efficiency.
  • Implement data pipelines and ETL processes using Azure Data Factory and Azure Data Factory.

Data Modeling and Analysis:



  • Design and develop robust data models and visualizations.
  • Perform data analysis and generate actionable insights to support business decisions.
  • Collaborate with business users to understand their requirements and translate them into technical solutions.

Team Leadership and Mentorship:



  • Mentor junior team members on Azure and Power BI technologies.
  • Lead and guide the team through the transition process.
  • Foster a culture of innovation and continuous learning.

Security and Compliance:



  • Ensure data security and privacy by implementing best practices and adhering to industry standards.
  • Monitor and maintain the security posture of the cloud environment.

Qualifications:



  • 5/7+ years of experience in data analysis, data engineering, or business intelligence.
  • Strong proficiency in Azure, including Azure Data Factory, Azure Synapse Analytics, Power BI, and Azure SQL Database.
  • Advanced SQL skills and experience with data modeling and ETL processes.
  • Experience with data visualization tools, particularly Power BI.
  • Strong understanding of cloud architecture and security best practices.
  • Ability to work independently and as part of a team.
  • Excellent communication and problem-solving skills.

Preferred Qualifications:



  • Experience with migration projects, particularly from legacy BI tools to modern cloud-based solutions.
  • Certifications in Azure and/or Power BI.
  • Experience with scripting languages (e.g., Python, PowerShell).

Nice To Have:



  • Experience with migration projects, particularly from legacy BI tools to modern cloud-based solutions.
  • Certifications in Azure and/or Power BI.
  • Experience with scripting languages (e.g., Python, PowerShell).


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