Senior Business Analyst

Requirements Elicitation & Documentation

• Lead workshops and interviews with business stakeholders, data owners, and end-users to deeply understand business processes and reporting requirements both on Pre-Project and Project Phase.

• Lead requirements-gathering sessions, workshops, and interviews with business and technical stakeholders to elicit, analyze, and validate needs for various GCP initiatives.

• Translate business needs into clear, well-defined technical requirements, documenting them as Epics, User Stories, and Acceptance Criteria in tools like Jira and Confluence.

• Analyze and document requirements not only for Data Warehouse migrations (e.g., to BigQuery) but also for:

• Data & Analytics Platforms: Defining requirements for data pipelines (Cloud Dataflow, Dataproc), real-time streaming solutions (Pub/Sub), and business intelligence dashboards.

• Application Modernization: Capturing specifications for migrating applications to Google Kubernetes Engine (GKE), Cloud Run, or App Engine.

• AI/ML Initiatives: Eliciting requirements for machine learning models, defining success metrics, and specifying data inputs for Vertex AI projects.

• Differentiate and manage both functional requirements (what the system must do) and non-functional requirements (e.g., performance, security, scalability, data residency, and compliance) specific to the GCP environment.

• Define and document source-to-target data mappings, transformation rules, and data quality expectations for various datasets.

• Manage and prioritize the project backlog in collaboration with the Project Manager and Lead Data Engineer, using tools like Jira or Confluence.

Data Analysis & Solution Design

• Analyze and document the client's current-state data ecosystem, including existing EDWs, ETL processes, data models, and BI reporting dependencies.

• Work closely with Data Architects to map legacy data models to modern, scalable architectures utilizing GCP services (e.g., BigQuery, Cloud SQL, Cloud Storage).

• Serve as the functional expert, clarifying ambiguities for the engineering team and validating that implemented solutions meet the defined business objectives.

• Define and document data governance, security, and compliance requirements (e.g., PII handling, data retention policies) within the new GCP environment.

Stakeholder Management & UAT

• Facilitate continuous communication between the business units, technical data engineering team, and cloud architects.

• Develop detailed User Acceptance Testing (UAT) plans, scenarios, and test scripts based on requirements.

• Coordinate and execute UAT sessions, manage defect resolution, and obtain final business sign-off prior to production deployment.

• Provide training and clear documentation to support the smooth transition of the client’s internal teams to the new data platform.