Team Lead - Invoice & Data Analysis (US Telecom)

Team Lead - Invoice & Data Analysis (US Telecom)

Employment Type:

Location:

Role Description:

The Team Lead will oversee and conduct data research and analysis, manage data, employ data science techniques, and ensure that data is handled effectively. The role involves leading a team, managing project timelines, and providing high-quality deliverables that align with client goals. Day-to-day tasks include analyzing datasets, reporting findings, and developing innovative solutions to complex problems.

Job Responsibilities:

• Strong analytical skills with the ability to identify and resolve data discrepancies
• Excellent problem-solving and critical thinking skills
• Proficient in Microsoft Excel and other data analysis tools (e.g., Power BI, Tableau)
• Strong communication, interpersonal, and leadership skills
• Collaborate with clients, internal stakeholders, vendors, and other departments to resolve data issues
• Ability to manage and prioritize multiple tasks in a fast-paced environment
• Excellent attention to detail and accuracy
• Oversee team performance and ensure adherence to deadlines and quality standards

Required Skills:

• Experience in the US Telecom Invoice processing and a good understanding of secondary research
• Excellent Communication skills. (Written & Verbal)
• Lead and manage a team of 5 to 10 data analysts focused on invoice reconciliation/any other data research process
• Develop and implement strategies for streamlining the invoice reconciliation process.
• Leverage data analysis tools and techniques to identify and investigate data discrepancies, and identify trends and opportunities for improvement
• Develop and implement quality control procedures for invoice reconciliation/any other data research process
• Prepare reports and presentations on key activities and findings
• Train and mentor team members on data analysis techniques and invoice reconciliation procedures
• MS Office - Word/ Excel, Power BI Medium to Advanced Level

Qualifications:

Graduate or Postgraduate in Commerce / Business Management/Equivalent

8 plus years in Data Research & Analysis, of which 2 to 3 years in team/people management