Requirement Gathering and Analysis:

• Collaborate with business stakeholders to understand their data and analytics needs.
• Conduct thorough analysis of business requirements and translate them into technical specifications.

Azure Data Factory Utilization:

• Demonstrate expertise in designing and implementing data pipelines using Azure Data Factory.
• Work closely with data engineers and developers to ensure the effective utilization of Azure Data Factory capabilities.

Data Integration and Management:

• Develop a comprehensive understanding of data sources, structures, and business rules.
• Facilitate the integration of diverse data sets, ensuring data quality and accuracy.

Documentation:

• Create detailed documentation of business requirements, data models, and technical specifications.
• Maintain up-to-date documentation throughout the project lifecycle.

Collaboration:

• Act as a liaison between business stakeholders, data engineers, and other technical teams.
• Foster effective communication and collaboration to ensure successful project outcomes.

Quality Assurance:

• Conduct testing and validation of data solutions to ensure they meet business requirements.
• Identify and address any issues or discrepancies in data processing.

• Proven experience as a Business Analyst in a technical environment, with a focus on data and analytics.
• Hands-on experience with Azure Data Factory is essential.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Familiarity with Agile and Scrum methodologies is a plus.
• Relevant certifications in Azure or business analysis are advantageous.