Responsibilities

• Improve 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 recommended data sources and analysis practices. - Proactively engage stakeholders to identify and act on opportunities to leverage data and resources. - Consult across teams on decisions related to data sourcing, analyses, and interpretation of results.
• Reporting and Sharing Results - Share insights and analytical experience through various means, including dashboards, reports, and visualizations. - Synthesize and simplify details across analyses to highlight relevant findings. - Identify opportunities to improve the efficiency of insights reporting techniques. - Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.
• Dashboard Builds - Develop and own Power BI dashboards to understand end-to-end campaign performance.

Requirements

• 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.

Preferred

• 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.

Benefits

• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay