Quality Analyst

Overview

The Quality Analyst is the guardian of data quality across MediaRadar's ad processing workflows, auditing work against SOPs, driving root cause analysis and continuous improvement, and supporting calibration and associate enablement within the Content & Data Operations team in India.

What you'll do

• Perform daily quality audits against the relevant SOP across classification, attribution, mapping, and related workflows, meeting defined productivity and quality targets.
• Identify anomalies, including SOP defects, process gaps, and recurring error patterns, and distinguish a genuine miss from an acceptable judgement call.
• Comprehend and apply SOPs with minimal supervision, and flag where an SOP is unclear, outdated, or silent on an edge case.
• Track process SLAs and turnaround commitments, ensuring audit and review queues are closed on time and slippage is escalated early with context.
• Investigate and help resolve client-raised troubleshooting requests, triaging whether the issue stems from a data, process, or model gap, and driving it to closure with the relevant team.
• Go beyond what broke to identify preliminary root causes, explain your rationale, and propose practical quality and productivity solutions with managers.
• Bring a continuous-improvement mindset to reduce recurring defects over time.
• Recommend process and system improvements, from SOP and workflow changes to tooling and automation enhancements.
• Participate in and help run calibration sessions so audit scoring stays consistent across analysts, processes, and shifts.
• Support evaluator readiness and certification.
• Work with data governance counterparts to turn recurring defect trends into targeted refreshers and SOP updates.
• Ensure 100% compliance to data governance rules and perfect data quality standards.
• Deliver clear, specific, and respectful feedback to associates, and close the loop on every audit observation.
• Work with Training counterparts within the Q&T function to turn recurring defect trends into targeted refreshers and SOP updates.
• Prepare key trend insights and share regular, clear quality reports with managers and stakeholders, surfacing emerging risks early.
• Audit AI-assisted and human-in-the-loop outputs, evaluating where the model is reliable and where human review must stay, and contribute structured feedback to improve ML model accuracy.
• Partner with Governance, ML, Data engineering and Product to give feedback to HiTL models.

What you'll need

• Demonstrated accuracy and attention to detail in a classification, attribution, mapping, or data-processing role.
• Ability to comprehend and apply SOPs independently and identify gaps in them.
• Sound judgement in distinguishing a true defect from a defensible call.
• Clear written and verbal English communication, able to write a feedback note or trend summary that needs no follow-up meeting.
• A constructive feedback style and the maturity to coach peers respectfully.
• Proficiency in analytical methodologies such as 5 Why analysis and Pareto Analysis to understand and resolve quality issues.
• Advanced proficiency with G-Suite, Looker Studio, and project-management tools (e.g., Jira), and basic AI familiarity, with the technical ability to use proprietary platforms to review, classify, and attribute ads across media channels, and to create and update complex product records within a centralized Product Catalog under strict governance standards.
• Ability to analyse data and maintain excellent recordkeeping, reporting on accuracy, sampling, coverage, volume, and other key performance metrics, and to create and maintain SOPs, training manuals, and training plans.
• Comfortable mining data from dashboards, building basic dashboards, and performing basic data analysis.

Nice to have

• SQL.
• Prior exposure to quality auditing, calibration, or RCA.
• Familiarity with continuous-improvement methods (Lean, Six Sigma, Kaizen).
• Experience working with AI-assisted or human-in-the-loop workflows.
• Experience supporting multiple processes or stakeholders concurrently.

Details

• Location: India.
• Targets to be met in the first 60 days: achieve calibration and audit to standard, close feedback loops, surface at least one recurring defect trend with an evidence-led fix, and be trusted by managers. After 60 days: drive floor-wide accuracy to a >98% baseline and reduce speed-to-proficiency ramp time for new hires by 15%.