We are looking for Data and BI Consultant for Cairo, Egypt location who is expertise in Data Analytics, Modelling and reporting with experience 8+ Years. Should be excellent in english communication and must have involved in at least 3 major projects..

• Requirements Gathering: Collaborate with internal stakeholders to understand the organization's data and analytics needs, objectives, and challenges to ensure the quality of the gathered requirement and direct the internal stakeholder.
• Vendor Liaison: Act as a bridge between Client and the vendor, facilitating communication and ensuring that the project aligns with Client goals.
• Data Strategy: Develop a data strategy that outlines data collection, storage, integration, and governance practices to support Data objectives of Client.
• Data Quality Assurance: Ensure the quality, accuracy, and consistency of data by defining data quality standards and overseeing data cleansing efforts.
• Data Modeling: Co-Design & confirmation of data models and data architecture with the vendor to support analytics and reporting requirements.
• Data Integration: Oversee the integration of data from various sources and ensure proper technical documentation is provided from the vendor
• Security and Compliance: Ensure that data security and compliance throughout the project.
• Analytics and Reporting: Collaborate with business analysts to define and develop dashboards, reports, and analytics solutions that provide valuable insights. Algin about on its delivery with internal BI & Data Team.
• Change Management: Support change management efforts to help the organization adapt to new data-driven processes and technologies.
• Testing and Quality Assurance: Coordinate testing activities to validate the accuracy and functionality of solutions.
• Performance Monitoring: Continuously monitor the performance of BI solutions and recommend optimizations as necessary.
• Documentation: Maintain documentation of data models, processes, and configurations.
• Risk Management: Identify and mitigate risks that may impact the project's success.
• Post-Implementation Support: Oversee the hyper-care phase to ensure the continued success of BI solutions.
• Performance Metrics: Support the Technology VP to define and track key performance indicators (KPIs) to measure the success and impact of the data and analytics transformation.

• Requirements Gathering: Collaborate with internal stakeholders to understand the organization's data and analytics needs, objectives, and challenges to ensure the quality of the gathered requirement and direct the internal stakeholder.
• Vendor Liaison: Act as a bridge between Client and the vendor, facilitating communication and ensuring that the project aligns with Client goals.
• Data Strategy: Develop a data strategy that outlines data collection, storage, integration, and governance practices to support Data objectives of Client.
• Data Quality Assurance: Ensure the quality, accuracy, and consistency of data by defining data quality standards and overseeing data cleansing efforts.
• Data Modeling: Co-Design & confirmation of data models and data architecture with the vendor to support analytics and reporting requirements.
• Data Integration: Oversee the integration of data from various sources and ensure proper technical documentation is provided from the vendor
• Security and Compliance: Ensure that data security and compliance throughout the project.
• Analytics and Reporting: Collaborate with business analysts to define and develop dashboards, reports, and analytics solutions that provide valuable insights. Algin about on its delivery with internal BI & Data Team.
• Change Management: Support change management efforts to help the organization adapt to new data-driven processes and technologies.
• Testing and Quality Assurance: Coordinate testing activities to validate the accuracy and functionality of solutions.
• Performance Monitoring: Continuously monitor the performance of BI solutions and recommend optimizations as necessary.
• Documentation: Maintain documentation of data models, processes, and configurations.
• Risk Management: Identify and mitigate risks that may impact the project's success.
• Post-Implementation Support: Oversee the hyper-care phase to ensure the continued success of BI solutions.
• Performance Metrics: Support the Technology VP to define and track key performance indicators (KPIs) to measure the success and impact of the data and analytics transformation.

Bachelor of Computer Science / Bachelor of Technology.