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The goal of the project is to optimize the Customer Service (CSS) through data-driven analyses, budget control, and quality management. Service processes are improved, contact rates are reduced, and measures for cost efficiency are developed.
Analyses at the interface of CSS and Tech, including CSS reporting, Customer Intelligence Lab, and Quality Analytics.
Creation of data-driven analyses to clarify relevant issues using CSS reports, Jira, and Confluence.
Budget planning and control for all current and planned brands, including variance analysis and cost-reduction measures.
Capacity planning based on contact rate and ABT/APT, taking incidents, workarounds, and learning curves into account.
Advising relevant teams (e.g., Business Readiness, Incident Management, Service Management) to increase efficiency.
Optimization of partner contracts with ABT/APT caps using quality management methods.
Reporting and monitoring of budget changes using CSS reports and Power BI.
Preparation and presentation of CSS-relevant content for the PiP team, Run-SteerCo, and Director circle.
Compilation and distribution of key quality and performance metrics using CSS reports and Power BI.
The project contributes to optimizing customer service processes, reducing costs, and strengthening data-based decision-making in the telecommunications environment.