
51 - 200 employees
đŒ Consulting
đŠ Logistics
âïž SaaS
Consulting âą Logistics âą SaaS
Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.
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51 - 200 employees
đŒ Consulting
đŠ Logistics
âïž SaaS
Consulting âą Logistics âą SaaS
Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.
âą Design, develop, and maintain complex SAP BusinessObjects Web Intelligence (WebI) reports and enterprise reporting solutions âą Build and optimize queries, calculations, variables, filters, prompts, and report-level logic within Web Intelligence âą Develop, maintain, and enhance SAP BusinessObjects Universes and semantic layers âą Translate business and reporting requirements into effective BI solutions âą Analyze and troubleshoot report, query, data, and performance issues âą Optimize Web Intelligence reports and underlying queries for performance and scalability âą Write and optimize complex SQL queries to support reporting and data validation âą Work with relational databases, data warehouses, and multiple enterprise data sources âą Perform data validation and ensure accuracy and consistency across reports âą Support enhancements, maintenance, and troubleshooting of existing SAP BusinessObjects solutions âą Collaborate with business users, Data Engineers, Architects, and other technical stakeholders throughout the development lifecycle âą Follow BI development standards, documentation practices, and deployment processes
âą 5+ years of experience working with SAP BusinessObjects / Business Intelligence solutions âą Strong hands-on expertise with SAP BusinessObjects Web Intelligence (WebI) âą Proven experience developing complex enterprise reports, queries, calculations, variables, prompts, filters, and report logic âą Experience working with SAP BusinessObjects Universes and semantic layers âą Experience with Information Design Tool (IDT) and/or Universe Design Tool (UDT) âą Strong SQL skills and solid understanding of relational databases âą Experience working with data warehousing concepts and dimensional data models âą Strong troubleshooting and performance optimization skills âą Ability to understand business requirements and translate them into technical reporting solutions âą Experience working in enterprise BI environments âą Strong analytical and problem-solving skills âą Ability to communicate effectively with both technical and business stakeholders âą Advanced English communication skills âą Preferred: Experience with SAP BusinessObjects BI 4.x / 4.3 environments âą Preferred: Experience with UNX and/or UNV Universes âą Preferred: Knowledge of ETL/ELT processes and data integration concepts âą Preferred: Experience with Crystal Reports, Power BI, Tableau, or MicroStrategy
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