Job Description

Independent candidate only or with trusted empolyers

TITLE: SAP BW Developer / Technical Consultant
VISA - Usc and Gc


Must have:

1. Expert in BW ABAP for writing user exists using CMOD, start routines, end routines etc
2. Experience in creating Open Hubs, Analysis process design
3. Experience in creating calculated and restricted key figures, structures, customer exit variables, exceptions

DURATION: 12 months

LOCATION: Onsite 100% initially and then can move to Hybrid Model 3 days onsite after the Consultant is up to speed (1-3 months) 1 MacArthur Place Suite 800 Santa Ana California 92707 ( only local )


INTERVIEW MODE:

1. Video
2. Video

JOB DESCRIPTION:
As an experienced SAP BW Developer, you will play a pivotal role in our data management and reporting initiatives. You will be responsible for understanding business requirements, designing data models, and building queries and data extractions to support our business users' needs. Your expertise in SAP BW and data analysis will contribute to the efficient and effective use of data to drive informed decision-making within the organization.
- Bachelor's degree in Computer Science, Information Systems, or a related field.


**Key Responsibilities:**

1. Data Modeling: Develop and maintain complex data models within SAP BW, ensuring data structures are optimized for reporting and analytics.
2. Troubleshooting: Identify and resolve data-related issues promptly to maintain the integrity and reliability of our data solutions.
3. Collaboration with Business: Engage with business stakeholders to gather and understand their data requirements, providing guidance on best practices and proposing data solutions that meet their needs.
4. Requirements Analysis: Analyze and document business requirements, translating them into technical specifications for data models and queries.
5. Query and Data Model Development: Design, develop, test, and deploy SAP BW queries, data models, and extractions to meet business reporting and analysis needs.
6. Performance Optimization: Continuously monitor and optimize data models and queries to ensure optimal system performance and responsiveness.
7. Documentation: Maintain comprehensive documentation for data models, extraction processes, and troubleshooting procedures.
8. Quality Assurance: Implement data quality checks and validation processes to ensure data accuracy and consistency.

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