[Hiring] Quality Analyst @MediaRadar

Role Description

Our Content & Data Operations team is the engine behind this intelligence. We work on turning unstructured global ad data into the highly accurate, AI-ready datasets that our clients rely on to make high velocity and impactful media decisions.

The Quality Analyst is the guardian of data quality across all our ad processing workflows. You are the person who catches what others miss, explains why it happened, and closes the loop so it does not happen again.

This is a role for someone who takes pride in accuracy, is energized by finding the root cause rather than just the symptom, and wants to move from doing the work to raising the bar on how the work is done.

Primary Responsibilities and Impact Drivers

• Quality auditing & defect identification
  • Perform daily quality audits against the relevant SOP across classification, attribution, mapping, and related workflows, meeting defined productivity and quality targets.
  • Identify anomalies — 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  • Comprehend and apply SOPs with minimal supervision, and flag where an SOP itself is unclear, outdated, or silent on an edge case.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 any slippage is escalated early with context.
  • Investigate and help resolve client-raised troubleshooting requests, triaging the issue, identifying whether it stems from a data, process, or model gap, and driving it to closure with the relevant team.
• Root cause analysis & continuous improvement
  • Go beyond what broke to why it broke and identify preliminary root causes and explain your rationale clearly.
  • Propose practical solutions on quality and productivity, and partner with managers to drive them to closure on agreed milestones.
  • Bring a continuous-improvement mindset (RCA, basic Lean/Six Sigma thinking welcome) to reduce recurring defects over time.
  • Recommend process and system improvements from SOP and workflow changes to tooling and automation enhancements — that remove recurring defects at the source rather than re-catching them.
• Calibration & standards consistency
  • Participate in and help run calibration sessions so that audit scoring stays consistent across analysts, processes, and shifts.
  • Support evaluator readiness and certification so that two analysts auditing the same work reach the same verdict.
  • Work with your data governance counterparts to turn recurring defect trends into targeted refreshers and SOP updates, so coaching translates into measurable improvement.
  • Ensure 100% compliance to data governance rules and perfect data quality standards.
• Feedback & associate enablement
  • Deliver clear, specific, and respectful feedback to associates, and close the loop on every audit observation.
  • Work with your Training counterparts within the Q&T function to turn recurring defect trends into targeted refreshers and SOP updates, so coaching translates into measurable improvement.
• Insights & reporting
  • Prepare key trend insights and share regular, clear quality reports with managers and stakeholders.
  • Surface emerging risks early and flag updates to the QnT Manager with enough context for a fast decision.
• AI / human-in-the-loop quality
  • Audit AI-assisted and HiTL outputs as our Classification Engine footprint grows by evaluating where the model is reliable and where human review must stay.
  • Contribute structured feedback that helps improve ML model accuracy.

Role Mandate - How you will raise the bar

• You treat the quality of the process as yours to defend. You “OWN” the space end to end, you do not wait to be asked.
• You identify errors early. You investigate fast and you share feedback faster. You do not stop at reporting the problem.
• You hit the daily audit sample targets and move the process accuracy. Activity is not your goal, Impact is.
• You are obsessed with Quality standards. You do not let any known error pass.
• You strive to make the process better than you found it – for associates, for your team, for the organization and for the clients who rely on our data.
• You also partner closely with internal teams like Governance, ML, Data engineering and Product to give feedback to HiTL models.

What You Will Deliver

• Success Measures: (first 60 days)
  • You are calibrated and audited to standard across your assigned processes.
  • Your feedback loops are closing — observations are actioned, not just logged.
  • You have surfaced at least one recurring defect trend with a proposed, evidence-led fix.
  • Managers trust your audits as an accurate picture of process health.
• After 60 days: Drive floor-wide accuracy to a >98% baseline. Restructure the new-hire onboarding curriculum to reduce speed-to-proficiency ramp time by 15%, ensuring new associates hit target SLAs faster.

Qualifications

• 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 a trend summary that needs no follow-up meeting.
• A constructive feedback style and the maturity to coach peers respectfully.
• Proficiency in using analytical methodologies such as 5 Why analysis and Pareto Analysis to understand and resolve quality issues.
• Advanced proficiency with G-Suite, Looker studio, project-management tools (e.g., Jira), and basic AI familiarity.
• Ability to analyse data and maintain excellent recordkeeping — reporting on accuracy, sampling, coverage, volume, and other key performance metrics.
• Comfortable with mining data from dashboards, building basic ones and basic data analysis; SQL is an added advantage.

Preferred

• 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.

Benefits

• At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive.
• We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative.
• We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
• We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at [email protected].