Team Lead - Invoice & Data Analysis (US Telecom)

9 - 13 years

12 - 17 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position:

Role Overview

Team Lead Invoice & Data Analysis (US Telecom)

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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