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Responsibilities
Solution Development: Collaborate with stakeholders to gather and understand BI requirements, translating them into effective and intuitive BI solutions that address the needs of the Planning and Logistics teams.
Data Modelling: Design and develop data models and structures that enable efficient data integration, transformation, and visualization, ensuring optimal performance and accuracy.
ETL Development: Build and maintain ETL (Extract, Transform, Load) processes to extract data from various sources, transform it into usable formats, and load it into data warehouses or BI platforms.
Dashboard Creation: Develop interactive and user-friendly dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, or similar, to provide insights into supply chain KPIs and operational performance.
Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy and integrity of data used for reporting and analysis.
Performance Optimization: Continuously monitor and optimize the performance of BI solutions, identifying opportunities to enhance efficiency, responsiveness, and user experience.
Collaboration: Work closely with the Global BI Lead, BI analysts, data engineers, and cross-functional teams to ensure alignment with business requirements and data strategies.
Documentation: Create comprehensive documentation for developed BI solutions, including data mappings, ETL processes, data dictionaries, and technical specifications.
Technical Support: Provide technical support and troubleshooting for BI solutions, assisting users in understanding data, resolving issues, and optimizing their use of BI tools.
Continuous Learning: Stay current with BI trends, best practices, and emerging technologies to drive innovation and ensure the organization's BI capabilities remain cutting-edge.
Requirements:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.
Experience in in BI development, data modelling, ETL processes, and data visualization, with a focus on supply chain planning and logistics.
Proficiency in BI tools such as Tableau, Power BI, or similar, and strong proficiency in ETL tools such as SQL, Python, or related technologies.
Solid understanding of data warehousing concepts, data integration, and data transformation.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills, with the ability to work effectively within cross-functional teams.
Detail-oriented mindset with a commitment to data accuracy and quality.
Previous experience in the pharmaceutical or related industries is a plus.
Knowledge of supply chain processes, demand forecasting, and distribution logistics is desirable.
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