Team Lead – Data Analysis

Hyderabad
May 12, 2026
Full Time
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Job Description

The Team Lead – Data Analysis role involves leading a team of Data Analysts while managing complex data analysis, quality control, and automation-related tasks. The role requires strong expertise in advanced Excel operations, SQL, Python, VBA, and RPA tools to support data-driven projects in a fast-paced production environment. The Team Lead will also coordinate with Review Managers, handle escalations, ensure project quality, and mentor team members.

Responsibilities

  • Lead and supervise a team of Data Analysts.
  • Coordinate with Review Managers on project timelines and deliverables.
  • Perform and support Deduplication Quality Control (QC) processes.
  • Prepare and validate Notification Lists and analysis reports.
  • Develop solutions for complex data analysis and client-specific requirements.
  • Escalate major project or quality issues to management.
  • Manage project resource allocation with managers and other team leads.
  • Conduct data cleansing, validation, and analysis tasks.
  • Support automation initiatives using RPA tools like UiPath or Automation Anywhere.
  • Train and mentor team members while providing feedback and oversight.
  • Ensure high-quality deliverables within tight deadlines.
  • Participate in continuous learning and special projects.

Required Skills

Technical Skills

  • Advanced Microsoft Excel skills
    • Pivot Tables
    • Macros
    • Lookups
    • Text Functions
    • Complex Formulas
  • Knowledge of SQL, Python, and VBA
  • Experience with RPA tools
    • UiPath
    • Automation Anywhere
    • Blue Prism
  • Strong Data Analysis and Data Cleansing skills
  • Experience with eDiscovery platforms like Relativity or Canopy (preferred)
  • Knowledge of Cyber Incident Response or Data Breach Analysis (preferred)

Soft Skills

  • Leadership and team management abilities
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication skills
  • Attention to detail and quality focus
  • Ability to work under tight deadlines
  • Team collaboration and coordination skills
  • Training and mentoring capabilities

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