Paid Media Data Analyst

As a Paid Media Data Analyst on the Media Data Science and Analytics team, you will play a critical role in establishing and promoting measurement frameworks that create better investment decision making. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, all while driving meaningful interpretation of data and supporting media optimization. The optimal candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical expertise are essential. In this role, you will support the rhythm of business by providing actionable recommendations to paid media stakeholders based on rigorous analysis and clear insights. You will leverage analytical techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, strong communication skills, and the confidence to engage with executives and stakeholders across the business. Key focus areas may include: campaign performance measurement, creative and audience testing, signal quality, perception measurement, survey design attribution and incrementality interpretation, funnel diagnostics, dashboard development, and translating learning agenda questions into repeatable analytical approaches. Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience. Experience with perception measurement and survey design. Improvement and Efficiency Identify and promote methods that enhance efficiency in analytics and reporting. Ensure solutions are reusable, easily discoverable, and self-service oriented. Drive meaningful data interpretation to inform paid media business decisions. Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights. Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features. Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively. Evaluate the viability of automated methods for data collection, reporting, and analysis. Establish clear linkage between generated models or experiment designs and desired business outcomes. Ensure alignment on definitions and standards across stakeholders. Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant. Develop and own Power BI dashboards to understand end-to-end campaign performance.