Paid Media Data Analyst

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.   The  Global Marketing Engines and Experiences (E&E)  team within Microsoft is responsible for delivering integrated marketing experiences for Microsoft by building, running, and innovating a globally scaled engine to deliver connected journeys that delight customers and create fans.   The  Media Data Science and Analytics  team within E&E enables data-driven decision making by providing data products and insights to measure marketing's performance and impact, understand the customer experience, and develop systems of learning for marketers.    In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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.

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.   Model Evaluation Understand the relationship between analytical models or experiment designs and business objectives. Establish clear linkage between generated models or experiment designs and desired business outcomes. Assess the degree to which models meet business objectives and address gaps. Ensure alignment on definitions and standards across stakeholders. Define, design, and promote appropriate feedback and evaluation methods or experiment designs. Present results and findings to stakeholders.   Orchestration and Collaboration Leverage working relationships within and across teams to ensure alignment and quality execution. Drive the adoption of