Quality Analyst

New
M
MediaRadarData Operations
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English
Required Skills
Data AnalysisJiraProcess improvement

Requirements

  • Demonstrated accuracy and attention to detail in classification, attribution, mapping, or data-processing roles.
  • Ability to comprehend and apply SOPs independently and identify gaps.
  • Sound judgment in distinguishing true defects from defensible calls.
  • Clear written and verbal English communication skills.
  • Constructive feedback style and maturity to coach peers respectfully.
  • Advanced proficiency with G-Suite, Looker Studio, and project-management tools (e.g., Jira).
  • Proficiency in analytical methodologies such as 5-Why analysis and Pareto Analysis.
  • Technical ability to use proprietary platforms for ad classification and product record management.
  • Ability to mine data from dashboards, build basic reports, and perform data analysis.
  • Familiarity with AI and human-in-the-loop workflows.
  • Prior exposure to quality auditing, calibration, or RCA (preferred).
  • Familiarity with continuous-improvement methods like Lean, Six Sigma, or Kaizen (preferred).

Responsibilities

  • Perform daily quality audits against relevant SOPs for classification, attribution, and mapping workflows.
  • Identify and document anomalies, SOP defects, and process gaps, distinguishing between genuine errors and acceptable judgment calls.
  • Track process SLAs and turnaround commitments, ensuring queues are closed on time and escalating slippage.
  • Investigate client-raised troubleshooting requests and drive them to resolution across data, process, or model domains.
  • Conduct root cause analysis to reduce recurring defects and propose practical solutions for process or system improvements.
  • Participate in and facilitate calibration sessions to maintain consistent audit scoring.
  • Provide clear, specific, and respectful feedback to associates based on audit observations.
  • Audit AI-assisted and human-in-the-loop outputs to ensure model reliability and contribute feedback for ML model accuracy.
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