Principal Data Operations Analyst (Machine Learning and Python skills preferred)

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Skills you'll use

What you'll do

• BAU   Production   (Expert-Level   Execution)
• Perform advanced data coding, data matching, and transformation tasks.
• Run thorough quality checks to ensure data accuracy and consistency.
• Audit the applied stakeholder-requested changes to datasets with precision.
• Ensure timely and accurate delivery of data outputs as per SLAs.
• Ownership of Production Workflow
• • Maintain and audit team trackers to monitor task completion and quality.
• Ensure all production activities are documented and compliant with process standards.
• Issue Resolution s RCA
• • Lead investigations into data or delivery issues and conduct Root Cause Analysis (RCA).

Who can apply

• • Guide and mentor junior analysts to maintain high delivery standards.
• Audit team outputs regularly to ensure quality and consistency.
• Maintain a culture of accountability and continuous learning.
• • 2+ years of experience in data operations, analytics, or market insights.
• Hands-on experience in Machine Learning is required, with Python skills preferred
• Proven expertise in data coding, matching, and quality assurance.
• Strong analytical and problem-solving skills.
• Experience in team coordination, mentoring, and workload management.

About NielsenIQ

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