Sr. HANA BI Modeler

Job Description

Translate business requirements into the appropriate data models that integrate with the overall logical data warehouse. Define business data requirements and create logical and physical data models. Assist as needed in the design and development of ETL standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this information.

• Create/maintain the Enterprise Business Intelligence data architecture to increase the robustness, performance, and scalability of systems. Ensure optimal end user performance by establishing and consistently executing overall system performance assessment processes and associated action plans. Create conceptual, logical and physical database models as well as process and data lineage diagrams. Create Application design, High level Design based on customer requirements.
• Provide oversight and direction for the design and development of the data layer(s). Develop logical data models and physical data base designs applied across multiple computing environments. Maintain quality of data in the warehouse, ensuring: integrity of data in the warehouse, correcting any data problems, data currency, establish design procedures to purge/archive old data
• Assist development team in the design of new BI solutions. Work with product owner and business users to understand and translate user stories and/or requirements into data models, analytics reports and scenario models. Work closely with ETL developers to assist them with development life cycle.
• Lead technology review meetings and ensure appropriate governance processes are followed. Ensure that documentation is created, meets standards, and is properly maintained according to established standards and procedures, to facilitate ongoing support and maintenance. Provide technical leadership and guide team members.
• Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise. Ensure design meets the requirements. Source data from legacy systems that are to be loaded into the warehouse; provide extracts of data from the warehouse back to operational systems.
• Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
• Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.

Job Qualifications

Education