Design and maintain reports to track the performance and usage of AI assistants within the contact center;
Analyze key metrics such as efficiency, effectiveness, and user engagement to assess AI assistant performance.
Develop and present data-driven insights related to AI assistant performance, customer satisfaction (CSAT), and complaints to stakeholders across the organization;
Provide detailed reports on CSAT scores and customer complaints, highlighting areas for improvement related to AI assistant interactions;
Analyze trends in customer complaints and CSAT data, recommending actions to address pain points and improve service quality;
Utilize Oracle DWH, Hadoop data platform, and Power BI to gather, analyze, and visualize data efficiently;
Create and maintain interactive dashboards and reports for stakeholders, focusing on the AI assistant’s impact on customer experience.
Qualifications/Experience:
Strong experience with Oracle DWH and Hadoop data platform for data extraction, transformation, and analysis;
Proficiency in Power BI for report creation, data visualization, and dashboard development;
Expertise in analyzing large datasets to extract actionable insights related to AI assistant performance, customer satisfaction, and operational efficiency;
Experience with performance metrics such as CSAT, NPS, and customer complaints, and understanding of how these metrics integrate with AI operations;
Strong presentation skills, capable of delivering complex information in a clear and concise manner to stakeholders.
Tools:
Data Management: Oracle DWH, Hadoop, SQL;
Data Visualization: Power BI;
Reporting: Excel, PowerPoint for presenting insights;
Project Management: JIRA, Confluence (for collaboration and task tracking).
We offer to you:
Work in an international bank
Loans for employees at a favorable rate
No dress-code
Professional mentors and colleagues
New modern and cosy office for comfortable work
Conditions: fixed salary + an attractive and transparent bonus system.