Sr Marketing Business Analytics Lead
Microsoft
Sr Marketing Business Analytics Lead
Redmond, Washington, United States
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Overview
We are seeking a strategic and data-driven Sr Marketing Business Analytics Lead to drive innovation and business impact for our commercial business. As part of the Global Marketing Engines and Experiences team, the Marketing Analytics team supports our full stack and discipline marketers across the product marketing and integrated marketing organization, through a new suite of intelligent, modern marketing tools, the Marketing System of Learning. The Marketing System of Learning delivers unified data, real-time insights, through unified data engineering, shared language, and closed-loop learning. Our key outcomes focus on product marketing usage to drive data-drive decisions for their business. PMM use cases of business decisions made from the System of Learning will translate into business cases for AI agent workflows. This role will be part of a cross functional team that delivers new analytics and AI agentic capabilities for the marketing organization to deliver actionable insights to drive marketing efficiency and optimization.
Qualifications
Required/minimum qualifications
- Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
- 1+ years experience in commercial/B2B digital marketing with expertise in providing actionable insights and recommendations to business stakeholders across the commercial marketing funnel. Experience in creating executive level content and delivering actionable insights to stakeholders, aligned to business, priorities, outcomes and to drive growth and innovation for their business.
- Marketing data expertise. Experience leveraging appropriate types and sources of data and/or metrics, understanding how business needs translate into data requirements and evaluates sufficiency of data sources, determines needs for integrating additional data, and identifies, anticipates, and addresses gaps and data quality issues with data providers, in partnership with other teams.
- AI and agent business case development. Must have experience in developing business cases for AI to develop/streamline marketing workflows and process automation.
- Proven success of improvement, efficiency, and innovation. A proven track record of driving change, leading innovation, and improving existing programs and processes, along with the passion to clearly document, socialize, iterate, and drive X-team accountability for execution.
- Ability to collaborate and influence. Experience in high collaboration environments, leading cross-team projects, with the ability to influence and lead others. Experience collaborating with data analysts and data engineers to build data pipelines or integrations used to address business needs and advises other analysts on ideal ways to present and discuss data to influence business stakeholders' decision making.
- Project management and self-management and working in an environment with high levels of ambiguity in a quickly changing business context.
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
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
Microsoft will accept applications for the role until July 26th 2025.
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Responsibilities
• Deliver best in class marketing analytical tools and a cohesive Marketing System of Learning measured by PMM usage and marketing decision making. Bring together data and business owners across the entire marketing funnel to deliver a single, cohesive System of Learning for Full Stack and Disciple Marketers, from industry trends, awareness, consideration and post-purchase signals. Help marketers make data-driven decisions about where to invest next, what content to develop, and how to optimize campaigns for a given business outcome. Guide appropriate data, metrics, data sources, and ensure data integration and integrity across complex sets of data. Determines needs for integrating additional data, and identifies, anticipates, and addresses gaps and data quality issues with data providers, in partnership with other teams. Leverages working relationships within and across teams to ensure quality data sources, methodologies, as well as the appropriate application of analytical tools and processes.
• Marketing Performance Measurement to drive actionable insights for marketers. Ability to use data to drive action and improvement across the marketing funnel. Experience helping marketing and business leaders understand data and translating into actionable insights to adjust campaigns, investments, determine next best marketing action, and achieve outcome-oriented marketing objectives.
• Develop AI and Agent use case development. Develop business requirements for AI Agent marketing workflows as we gather use cases and look across millions of customer engagements. Work collaboratively with our AI Center of Excellence team to drive automation, efficiency, and agentic workflows to support the marketing organization.
• Drive SOL adoption with PMM enablement. Drives the adoption of analytics tools and processes to facilitate relevant insight generation, reporting, and interpretation. Lead the customer champs community of early adopters to ensure fast time to value and PMM usage of the System of Learning. Enable Champs success through onboarding, training, and collaboration to ensure stories across usage, product feature requests, data visualization requirements, and overall measurement plans to drive business and investment decision making.
• Onboard new data sets with streamlined data and tool onboarding process. Quickly and efficiently bring in new data, tools, and analytics capabilities into the System of Learning. Identifies and promotes methods that create efficiency in analytics and reporting that are reusable, readily discoverable by decision-makers, self-service, and directed to meaningful interpretation of data that drive business decisions and impact.