~Act as lead Research Analyst in designing and performing data quality checks to maintain the integrity of reported data. These QA tasks include: * Trend analysis to track changes over time for key audience measures * Exception reporting to identify areas for further analysis * Outlier analysis * Analysis of sample changes over time in terms of demographics behaviors * Identify areas for potential Data QA risks, taking proactive approach to assess and develop precautionary measures ~Serve as liaison between the Data QA and Operations with regards to regular production tasks ~Take full ownership of assigned Data QA projects proactively interfacing and coordinating with Engineering and Product Marketing to identify and resolve Data QA issues ~Perform and maintain record keeping for required validation checks for all report enhancements prior to initial release ~Execute QA tasks on a timely basis to ensure that reports are released per production schedules ~Investigate specific data quality issues received from NNR clients on a timely basis ~Coordinate with Engineering and Product Management to resolve production data quality issues