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PepsiCo

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BI Analyst

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Summary

A BI Analyst at PepsiCo in Tbilisi supporting the CAU analytics agenda: consolidating and automating reports, building Power BI/Excel dashboards and visualizations, providing analytical support to the Commercial team, running UAT for digital products, and coordinating data collection for annual planning.

Overview Support the CAU BI agenda and drive the full automation of CAU reporting by collecting and consolidating reports from various sources. Designing and finalizing reports in collaboration with the IT team, supporting assessments, surveys, and workshops. Providing analytical support to the Commercial team, ensuring the proper integration of digital products into core business processes, and assisting in the development of user guides and documentation. Responsibilities Supporting Data Management and Analysis: Provide assistance to the Business Development and Commercial team by generating insights and reports based on leadership requirements to inform strategic decision-making. Support the CAU Analytics Agenda by contributing to data-driven initiatives aimed at improving business performance. Reporting and Visualization: Support the reporting process automation within the CAU to streamline operations and increase efficiency. Create visually engaging and informative reports and visualizations. Contribute to CAU Product Backlog delivery: Collect demand data and analyze problems to identify opportunities for improvement. Conduct internal and User Acceptance Testing (UAT) to ensure the quality and functionality of newly developed products or systems. Annual Planning Process Support: Ensure timely and complete data collection to support the planning process and enable informed decision-making. Organize the process of MU inputs delivery and control the schedule to ensure deadlines are met and the planning cycle runs smoothly. Qualifications Higher Education – Business Administration, Economics, Finance, Statistics, Mathematics, Computer Science, Information Systems, or a related field. 1-2 years practical experience in Data and Analytics, Digital Tools Good command of English and Russian Advanced MS skills (Excel, Power Point) Power BI (basic skills and readiness to expand skill in this area) will be a plus

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