Business Analyst For Data Engineering Project On Google Cloud Platform (GCP)A Business Analyst for a data engineering project on Google Cloud Platform (GCP) plays a crucial role in bridging the gap between business needs and technical data solutions. This role requires a strong understanding of data, business processes, and the ability to translate requirements into actionable plans for data engineers.Key Responsibilities:Requirements Elicitation and Documentation:Collaborate with business stakeholders to understand data requirements, objectives, and priorities related to data engineering initiatives on GCP.Conduct workshops, interviews, and surveys to gather detailed functional and non-functional requirements for data pipelines, data storage, and data processing.Translate business needs into clear, concise, and comprehensive documentation, including user stories, technical specifications, and data flow diagrams.Data Analysis and Profiling:Perform data analysis and profiling to understand existing data sources, structures, quality, and potential challenges for migration or integration into GCP.Identify data inconsistencies, gaps, and areas for improvement to ensure data quality and integrity within the GCP environment.Solution Design and Collaboration:Work closely with data engineers, architects, and other technical teams to design and implement data solutions on GCP, including data pipelines (ETL/ELT), data warehousing, and data lake architectures.Ensure that proposed solutions align with business requirements, data governance standards, and GCP best practices.Testing and Validation:Support data validation, testing, and quality assurance activities to ensure the accuracy, completeness, and consistency of data within the GCP data platform.Assist with User Acceptance Testing (UAT) and provide support to business users during and after data migration or new data solution deployments.Stakeholder Communication and Management:Maintain clear and consistent communication with all stakeholders, including business users, technical teams, and project management.Explain complex technical concepts in an understandable manner to non-technical audiences.Qualifications:• Proven experience as a Business Analyst, ideally within data-centric or cloud-based projects.• Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling.• Familiarity with Google Cloud Platform (GCP) services relevant to data engineering (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub).• Experience with SQL for data querying and analysis.• Excellent analytical, problem-solving, and communication skills.• Ability to work effectively in a collaborative team environment.• Knowledge of data governance and compliance principles is a plus.