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.
