IT Business Analyst

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