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9.0 - 13.0 years

12 - 17 Lacs

hyderabad

Work from Office

Job Description Position: Team Lead Invoice & Data Analysis (US Telecom) Employment Type: Full-Time Location: Hyderabad (Work From Office) Role Overview We are seeking an experienced Team Lead Invoice & Data Analysis (US Telecom) to oversee invoice reconciliation and data research processes. The role requires strong analytical expertise, proven team leadership, and in-depth knowledge of US telecom invoice processing. You will lead a team of analysts, manage timelines, ensure high-quality deliverables, and drive continuous improvement in data accuracy and process efficiency. Key Responsibilities Lead and manage a team of 9 - 14 data analysts working on invoice reconciliation and data research. Ensure accuracy and efficiency in invoice processing, reconciliation, and analysis. Identify and resolve data discrepancies while maintaining high-quality standards. Collaborate with clients, vendors, and internal stakeholders to resolve issues and align on deliverables. Develop and implement process improvement strategies for invoice reconciliation and data analysis. Leverage tools like Excel, Power BI, and Tableau to analyze data, identify trends, and present findings. Establish and monitor quality control procedures to ensure compliance with client requirements. Prepare reports, dashboards, and presentations highlighting key activities, insights, and recommendations. Train, mentor, and guide team members on data analysis techniques and best practices. Manage multiple priorities in a fast-paced environment while meeting deadlines and SLAs. Required Skills & Competencies Strong analytical and problem-solving skills with keen attention to detail. Proficiency in Microsoft Excel (Advanced), Power BI, Tableau, and MS Office Suite . Experience in US Telecom invoice processing and strong secondary research capabilities. Excellent communication skills (written and verbal). Strong interpersonal and leadership abilities with experience managing large teams. Ability to streamline processes, identify opportunities for automation, and enhance efficiency. Qualifications Graduate / Postgraduate in Commerce, Business Management, or equivalent discipline . 9+ years of experience in data research & analysis, including 2 - 3 years of team/people management . Industry Telecom / Data Research / Analytics

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