What are the responsibilities and job description for the Business Data Analyst position at GEHA, Inc.?
Summary
The Business Data Analyst will be responsible for identifying a problem statement, gathering requirements, identifying the proper data solution, and documenting the decisions to support GEHA’s business stakeholders. This role supports data development and maintenance efforts of the Data & Analytics activities and initiatives in alignment with the Enterprise Data strategy, policies, and organizational goals.
Duties
- Reviews, analyzes, and creates detailed documentation of business rules and data needs.
- Coordinates discussions with business / stakeholders and cross functional / technical teams to capture and review use cases, requirements, and another technical document. Ensure all business requirements are accurately reflected and accounted for (including data lineage and transformations)
- Collaborates with developers and architects to define and document the data solution to meet needs outlined in the business rules and needs.
- Responsible for ensuring business / stakeholder approval, that passes audit scrutiny, for data solutions delivered in a production state.
- Documents data ingestion, transformation, and consumption including workflows, data models, data classification, and steps required to curate trusted data.
- Responsible for ensuring all documentation reflects the current state and outstanding issues so that business requirements reflect proper state of data.
- Support the cloud data framework that aligns with the Enterprise Data Strategy, policies, and organizational goals.
- Ensures that the delivered data and processes fulfill the documented business rules and data needs.
- Ensure that all items follow company change management process.
- Participate in scrum, backlog grooming, refinement, planning and review sessions.
- Presents documentation of business rules, data needs, technical documentation, and data models.
- Champions department standards for documentation and ensures that all assigned projects meet compliance and can withstand audit scrutiny.
- Peer Reviews documentation of business rules, data needs, technical documentation, and data models.
- Create data models based on the data solution decisions and conceptual models in collaboration with the data architect and developer.
